Analytics Engineer, Platform

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation systems. The position involves developing dbt-based data models, optimizing cloud data warehouses, implementing data quality frameworks, and enabling AI-assisted analytics capabilities. Candidates will collaborate across analytics, engineering, product, and operations teams to support reporting, operational analysis, and self-service business intelligence. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, or data warehousing, Strong dbt expertise, Advanced SQL proficiency, Experience with Python data transformations and workflows, Knowledge of dimensional modeling and scalable data architecture, Experience with production-grade data models and data quality testing, Experience with cloud data warehouses, Experience orchestrating data pipelines, Experience working in AWS environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong analytical and problem-solving skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence. Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models. Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs. Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability. Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability. Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability. Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability. Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation. Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows. WHO YOU ARE: 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field. Strong experience with dbt and modern analytics engineering best practices (required). Advanced SQL proficiency and experience developing data transformations and workflows using python. Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles. Experience building and maintaining production-grade data models, data quality tests, and documentation. Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery. Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc. Experience working within cloud environments, preferably AWS. Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows. Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices. Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions. Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders. COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity Compensation offered will be determined by geographic location, experience, and qualifications.CYBERSECURITY AWARENESS NOTICE In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment. ABOUT RIGHTWAY: Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient's care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them. Since its founding in 2017, Rightway has raised over $200mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global. We're headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs. HOW WE LIVE OUR VALUES TO OUR TEAMMATES: We're seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our core values: 1) We are human, firstOur humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding. 2) We redefine what is possibleWe always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems. 3) We debate then commitWe believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a "yes, and" mentality, and assume positive intent. Once a decision is made, we align and champion it as one team. 4) We cultivate gritChanging healthcare doesn't happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity. 5) We seek to delightHealthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members' care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members' success. Rightway is proud to be an Equal Opportunity Employer that believes in the strength of diverse thought, beliefs, backgrounds, and education. We foster an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis protected by applicable law. All employment decisions are based on merit, qualifications, need, and performance.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation operations. The position involves developing dbt-based data models, optimizing cloud data platforms, implementing data quality frameworks, and enabling AI-assisted analytics capabilities. Candidates will collaborate cross-functionally to deliver reliable, maintainable, and auditable data solutions in a modern analytics environment. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows using Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong problem-solving and analytical skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt and modern analytics engineering best practices (required) • Advanced SQL proficiency and experience developing data transformations and workflows using python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. • Experience working within cloud environments, preferably AWS • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation operations. The position emphasizes dbt-based data modeling, cloud data warehousing, automated data quality processes, and collaboration across analytics, engineering, and business teams. The role also supports AI-enabled analytics capabilities and self-service data platforms. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows with Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Experience with testing and deployment workflows, Strong problem-solving and analytical skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence. Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models. Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs. Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability. Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability. Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability. Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability. Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation. Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows. WHO YOU ARE: 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field. Strong experience with dbt and modern analytics engineering best practices (required). Advanced SQL proficiency and experience developing data transformations and workflows using python. Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles. Experience building and maintaining production-grade data models, data quality tests, and documentation. Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery. Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc. Experience working within cloud environments, preferably AWS. Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows. Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices. Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions. Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders. COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity Compensation offered will be determined by geographic location, experience, and qualifications.CYBERSECURITY AWARENESS NOTICE In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment. ABOUT RIGHTWAY: Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient's care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them. Since its founding in 2017, Rightway has raised over $200mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global. We're headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs. HOW WE LIVE OUR VALUES TO OUR TEAMMATES: We're seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our core values: 1) We are human, firstOur humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding. 2) We redefine what is possibleWe always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems. 3) We debate then commitWe believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a "yes, and" mentality, and assume positive intent. Once a decision is made, we align and champion it as one team. 4) We cultivate gritChanging healthcare doesn't happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity. 5) We seek to delightHealthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members' care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members' success. Rightway is proud to be an Equal Opportunity Employer that believes in the strength of diverse thought, beliefs, backgrounds, and education. We foster an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis protected by applicable law. All employment decisions are based on merit, qualifications, need, and performance.

🏢 Summary: Full-time Data Engineer III role focused on building and maintaining large-scale healthcare data infrastructure and production-grade data pipelines within AWS. The position requires deep expertise in SQL, Python, Airflow, DBT, and cloud-based ELT processes, with an emphasis on leveraging AI tools to optimize engineering workflows. The role includes designing scalable data systems, optimizing analytical queries, and supporting high-volume healthcare datasets. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience, 5+ years of experience as a data engineer, Expert-level SQL, Strong Python proficiency, Experience with AWS production systems, Experience building and scaling large-scale data infrastructure, Experience with Apache Airflow, Experience maintaining ELT processes with DBT, Experience designing database schemas in PostgreSQL and Amazon Redshift, Ability to use AI tools and LLM-assisted development workflows 📃 Skills: SQL, Python, AWS, Lambda, Glue, Fargate, Airflow, DBT, PostgreSQL, Redshift, Terraform, CloudFormation, ELT, LLM, GitHubCopilot 🏢 Description: ABOUT THE ROLE: We are seeking a full-time Data Engineer III to join our team and define and deploy mission-critical data infrastructure. The primary responsibility for this role is defining the processing of large healthcare datasets, which enable insights that improve the health of more than 3 million members. In this role, you will bring deep expertise in SQL and Python to build and maintain production-grade data pipelines within the AWS ecosystem — and you will leverage AI tooling to augment your workflow, accelerate development, and continuously improve the reliability and efficiency of the data platform. While familiarity with medical data is beneficial, it is not a requirement. WHAT YOU'LL DO: - Write production-level Python and SQL code, with a strong emphasis on complex SQL for data transformation, pipeline logic, and analytical query optimization. - Leverage AI tools and large language models to augment engineering workflows — from code generation and query optimization to automated testing, documentation, and process improvement. - Utilize AWS services such as Lambda, Glue, and Fargate for scalable data operations. - Build and maintain large-scale data pipelines using Apache Airflow. - Oversee the maintenance of Extract, Load, and Transform (ELT) processes using DBT. - Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and high performance. - Identify opportunities to apply AI-driven automation to repetitive or high-volume data engineering tasks, reducing manual effort and improving throughput. WHO YOU ARE: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. - 5+ years of industry experience as a data engineer. - Expert-level SQL skills, including query optimization, schema design, and working with large-scale datasets in production environments. - Strong Python proficiency with experience writing and maintaining production-grade code. - Skilled in working with AWS systems in a production environment. - Experienced in scaling data infrastructure to handle high volumes of data. - Demonstrated ability to incorporate AI tools (e.g. GitHub Copilot, LLM-assisted development) into an engineering workflow to improve speed and quality. EXTRA CREDIT: - Experience working with medical and pharmacy claims data. - Knowledge in deploying applications using serverless architecture. - Hands-on experience managing AWS services such as Lambda, Glue, and Fargate. - Experience with Master Data Management and data governance. - Familiarity with infrastructure-as-code services such as Terraform or CloudFormation. - Experience using AI tooling to automate data quality checks, generate pipeline scaffolding, or accelerate ETL development. COMPENSATION: $125,000 - $150,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications. CYBERSECURITY AWARENESS NOTICE: In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), candidates will only be contacted from the company email domain. Bank details or deposits will never be requested as a condition of employment.

🏢 Summary: Full-time Data Engineer III role focused on building and optimizing large-scale healthcare data infrastructure and production-grade data pipelines within AWS. The position requires deep expertise in SQL and Python, experience with Airflow and DBT, and use of AI tooling to improve engineering workflows and data platform efficiency. Compensation includes salary, bonus, and equity. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience, 5+ years of experience as a Data Engineer, Expert-level SQL, Strong Python proficiency, Experience with AWS in production environments, Experience building and scaling large-scale data infrastructure, Experience with Apache Airflow, Experience maintaining ELT processes with DBT, Ability to use AI tools and LLM-assisted development workflows 📃 Skills: SQL, Python, AWS, Lambda, Glue, Fargate, Airflow, DBT, PostgreSQL, Redshift, ELT, Terraform, CloudFormation, GitHubCopilot, LLM 🏢 Description: ABOUT THE ROLE: We are seeking a full-time Data Engineer III to join our team and define and deploy mission-critical data infrastructure. The primary responsibility for this role is defining the processing of large healthcare datasets, which enable insights that improve the health of more than 3 million members. In this role, you will bring deep expertise in SQL and Python to build and maintain production-grade data pipelines within the AWS ecosystem and leverage AI tooling to augment workflow, accelerate development, and continuously improve the reliability and efficiency of the data platform. WHAT YOU'LL DO: - Write production-level Python and SQL code, with a strong emphasis on complex SQL for data transformation, pipeline logic, and analytical query optimization. - Leverage AI tools and large language models to augment engineering workflows from code generation and query optimization to automated testing, documentation, and process improvement. - Utilize AWS services such as Lambda, Glue, and Fargate for scalable data operations. - Build and maintain large-scale data pipelines using Apache Airflow. - Oversee the maintenance of Extract, Load, and Transform (ELT) processes using DBT. - Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and high performance. - Identify opportunities to apply AI-driven automation to repetitive or high-volume data engineering tasks, reducing manual effort and improving throughput. WHO YOU ARE: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. - 5+ years of industry experience as a data engineer. - Expert-level SQL skills, including query optimization, schema design, and working with large-scale datasets in production environments. - Strong Python proficiency with experience writing and maintaining production-grade code. - Skilled in working with AWS systems in a production environment. - Experienced in scaling data infrastructure to handle high volumes of data. - Demonstrated ability to incorporate AI tools (e.g. GitHub Copilot, LLM-assisted development) into an engineering workflow to improve speed and quality. EXTRA CREDIT: - Experience working with medical and pharmacy claims data. - Knowledge in deploying applications using serverless architecture. - Hands-on experience managing AWS services such as Lambda, Glue, and Fargate. - Experience with Master Data Management and data governance. - Familiarity with infrastructure-as-code services such as Terraform or CloudFormation. - Experience using AI tooling to automate data quality checks, generate pipeline scaffolding, or accelerate ETL development. COMPENSATION: $125,000 - $150,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Product Manager role owning and scaling a B2B Client Portal into a self-serve analytics and workflow platform for employer healthcare clients. The position focuses on building dashboards, clinical insight workflows, and structured implementation tools while leading a cross-functional squad. Ideal for an early-career PM with strong analytical skills and experience in healthcare or data-driven SaaS products. 🗂️ Requirements: 2–4 years of product management experience delivering digital products, Experience building or enhancing B2B SaaS products, dashboards, or workflow tools, Strong analytical skills and ability to define and evaluate metrics, Experience shipping products iteratively with engineering and design teams, Experience in healthcare benefits, PBM, pharmacy, or employer-sponsored health plans, Experience building analytics or reporting products, Familiarity with healthcare performance metrics, cost drivers, or outcomes measurement, Experience working with client-facing or operational teams 📃 Skills: SaaS, Analytics, Dashboards, Reporting, ProductManagement, Agile, Backlog, UserStories, Healthcare, PBM, Metrics, Instrumentation 🏢 Description: Location: Remote (EST/CST preferred), NYC area encouraged ABOUT THE ROLE: We're seeking a driven, analytically strong Product Manager to lead the continued evolution of Rightway's Client Portal — the customer-facing application that enables employers to access performance data, track implementation progress, collaborate with Rightway, and understand the impact of their pharmacy benefit. The Client Portal is an established product used regularly by our customers. Clients value the experience today and are eager for deeper analytics, more self-service insight, and greater transparency into implementation and renewal workflows. At the same time, our internal teams need more structured tooling to reduce manual processes and custom reporting. This role will take ownership of the Client Portal and help transform it into a scalable self-serve analytics product that reduces reliance on custom reporting, a structured implementation platform that improves launch transparency and efficiency and a differentiated surface that strengthens client retention and supports sales conversations. You will lead a dedicated squad of 3–4 U.S.-based engineers and a designer, working closely with Client Success, Implementation, Analytics, Sales, and Operations teams. This role is well-suited to an early-career PM (2–4 years of experience) who is excited to own a high-impact product, work deeply with data, and operate at the intersection of customer experience and operational efficiency. WHAT YOU'LL DO: Own the Client Portal Roadmap - Define and execute the roadmap for the Client Portal, balancing customer insight, implementation efficiency, and internal operational scale. - Prioritize initiatives that increase portal adoption and engagement across our employer base. - Partner with leadership to evolve the portal into both a core customer experience surface and a strategic sales asset. Build Scalable, Self-Serve Analytics - Design and ship intuitive dashboards that allow clients to explore pharmacy performance cost drivers, utilization trends and population health insights, prior authorization and eligibility escalations, and program impact/ROI. - Translate complex healthcare and pharmacy data into clear, usable product experiences. - Reduce reliance on custom analytics requests by building flexible, scalable reporting capabilities. - Partner closely with data and engineering to ensure reporting accuracy, proper instrumentation, and long-term scalability. Create Actionable Clinical Insights ("Chase Lists") - Partner with clinical teams to develop a prioritized, ranked "chase list" of members based on estimated intervention value. - Provide member context (condition, medication usage) and clinically appropriate alternatives. - Deliver clear explanations that help clinical teams act confidently and consistently. - Ensure outputs are practical for real outreach operations and iterate with fast feedback loops. Improve Implementation & Workflow Efficiency - Create structured implementation tracking experiences that outline required inputs and documentation, provide milestone visibility and launch readiness tracking. - Improve transparency for clients and internal teams. - Streamline document sharing, renewal workflows, and ongoing client collaboration. - Identify operational bottlenecks and convert them into durable product solutions. - Improve implementation efficiency, measured by increased implementations per specialist. Drive Cross-Functional Execution - Translate stakeholder needs into clear requirements, user stories, and measurable success metrics. - Lead backlog prioritization and agile ceremonies for a remote squad of engineers and a designer. - Partner closely with Client Success, Implementation, Analytics, Sales, Operations, and Legal teams. - Use product analytics and customer feedback to continuously iterate and improve. WHO YOU ARE: - 2–4 years of product management experience delivering digital products. - Experience building or enhancing B2B SaaS products, dashboards, or workflow tools. - Strong analytical foundation and comfort working with data to define metrics and evaluate impact. - Demonstrated ability to ship iteratively in partnership with engineering and design. - Experience in healthcare benefits, PBM, pharmacy, or employer-sponsored health plans. - Experience building analytics or reporting products. - Familiarity with healthcare performance metrics, cost drivers, or outcomes measurement. - Experience working closely with client-facing or operational teams. EXTRA CREDIT: - Comfortable using data as a storytelling device internally and in customer-facing products. - Ability to bring structure and clarity to complex workflows. - Strong ownership and follow-through. - Collaborative mindset and ability to build trust across teams. - Excited to grow quickly and take on increasing responsibility. COMPENSATION: $140,000 - $160,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Fully remote Analytics Engineer role in an international SaaS environment focused on Customer Data Platforms and Marketing Automation. The position centers on building and scaling product analytics foundations, including event tracking, data integrations, and data pipelines to support customer engagement and product insights. You will collaborate with Product, Engineering, and Data teams to deliver scalable, data-driven solutions across global customer environments. 🗂️ Requirements: Strong experience with Python, Solid SQL skills, Experience with APIs and integrations, Experience implementing event tracking or analytics instrumentation, Understanding of Product Analytics and customer behavior metrics, Experience working with SaaS products 📃 Skills: Python, SQL, APIs, ETL, DataPipeline, Countly, Analytics, SaaS 🏢 Description: Analytics Engineer (Python & Product Analytics) | Remote | Long-Term International Project We are looking for an Analytics Engineer to join an international SaaS company operating in the Customer Data Platform and Marketing Automation space. This is a fully remote opportunity where you'll help build the analytics foundations that power customer engagement, product insights, and data-driven decision-making across a global customer base. Main Responsibilities As an Analytics Engineer, you will: Design and implement frontend and backend tracking events. Build data collection and integration solutions using Python. Fetch, process, and structure product data across multiple customer environments. Support the implementation and integration of Product Analytics platforms such as Countly or similar solutions. Develop data pipelines that enable customer engagement initiatives and product performance reporting. Work closely with Product, Engineering, and Data teams to deliver scalable analytics capabilities. Key Requirements Strong experience with Python. Solid SQL skills. Experience with APIs and integrations. Experience implementing event tracking, instrumentation, or analytics solutions. Understanding of Product Analytics and customer behavior metrics. Experience working with SaaS products. Nice to Have ETL and Data Pipeline experience. Modern Data Stack exposure. Experience in Customer Data Platforms or Marketing Technology environments. Other Details This role offers a fully remote project in an international product environment. You will have a direct impact on a leading Customer Data & Marketing Automation platform and work across Data, Product, and Engineering domains. Interested? Feel free to reach out to learn more.

🏢 Summary: Engineering Manager role leading a client-facing team responsible for delivery and site operations of a financial services web platform, with a strong focus on AI-augmented workflows and engineering excellence. The position combines technical leadership, SRE practices, and modernization of development processes through automation and AI tooling. This is a hybrid role requiring collaboration with cross-functional teams and direct client engagement. 🗂️ Requirements: 3+ years of engineering management experience, Experience managing and mentoring software engineers, Proficiency in JavaScript/TypeScript, HTML/CSS, React, Node.js, Understanding of web application architecture (client-server, RESTful services, microservices), Experience with code reviews and testing strategies (unit, integration, end-to-end), Experience with Agile/Scrum methodologies, Familiarity with CI/CD pipelines and deployment tooling, Experience with AI-assisted development tools, Familiarity with agentic workflows or automation frameworks, Understanding of web analytics tools, Familiarity with SQL and NoSQL databases, Knowledge of WCAG accessibility standards, Familiarity with SOC2 processes and controls, Understanding of OWASP guidelines and data protection regulations 📃 Skills: JavaScript, TypeScript, HTML, CSS, React, Node.js, REST, Microservices, CI/CD, Harness, GitHub, GitHubActions, Copilot, Cursor, Claude, SQL, NoSQL, GoogleAnalytics, Mixpanel, WCAG, SOC2, OWASP, GDPR, CCPA, Agile, Scrum 🏢 Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week. Red Ventures Growth and Transformation partners with financial institutions to build digital products, customer platforms, and marketing technology solutions that drive acquisition, deepening, and retention. Red Ventures is looking for a technically strong, growth-minded Engineering Manager to lead a client-facing engineering team within our Banking Client Services organization. You’ll own the engineering delivery and site operations for a financial services’ web presence, leading a small team today with a clear path to growth as the client partnership expands. What sets this role apart: you’ll operate at the intersection of client-facing engineering leadership and modern AI-augmented workflows. Our teams are actively integrating agentic tooling and automation into how we code, manage tickets, maintain compliance, and solve problems alongside our business and data science partners. We’re looking for someone who is energized by this shift and ready to lead a team through it. This role reports to the Director of Engineering and will serve as the technical lead on client engagements when needed, with the Director’s support. The ideal candidate has strong communication instincts and the desire to grow into an increasingly senior client-facing leadership role over time. Travel to partner locations is an expected component of this role to support relationship management and business objectives. Curious how Growth and Transformation fits into Red Ventures? Click here. What You’ll Do: Team & Client Leadership Lead a team of software engineers responsible for the engineering delivery and site operations of a financial services web platform. Serve as the technical lead on client calls and escalations, communicating complex technical topics clearly to both technical and non-technical stakeholders. Collaborate with designers, customer experience leads, business stakeholders, and leadership to deliver high-quality solutions that strengthen client trust. Position engineers for success through coaching, mentorship, regular feedback, and personal development planning. AI & Process Modernization Champion the adoption and effective use of agentic workflows and AI-assisted tooling for coding, ticket management, compliance, and engineering process improvement. Leverage internally-built automation and AI tooling to increase team efficiency, reduce manual toil, and improve delivery quality. Partner with business and data science teams to identify and implement AI-driven solutions to operational and client-facing problems. Stay current with emerging AI/ML tooling for software development (IDE integrations, CLI agents, code review automation) and evaluate their fit for the team. Site Operations & Engineering Excellence Drive SRE best practices: observability, incident response, reliability, and operational maturity for client-facing web properties. Improve engineering processes, CI/CD pipelines, code quality, and testing practices across the team. Demonstrate project and roadmap planning skills, balancing client commitments with operational health and team investment. What We’re Looking For: Leadership & Communication Experience managing and mentoring software engineers, including coaching, delivering feedback, and supporting career growth. Strong verbal and written communication skills with the ability to translate technical concepts for non-technical audiences, including client stakeholders. Skills in managing team dynamics, navigating conflict constructively, and building a collaborative, psychologically safe environment. Experience collaborating across functions: design, marketing, data science, and business partners to align on priorities and deliver outcomes. Comfort operating as a technical lead on client-facing calls and escalations with leadership support. 3+ years of engineering management experience Software Engineering Proficiency in web development languages and frameworks (e.g., JavaScript/TypeScript, HTML/CSS, React, Node.js). Understanding of web application architecture: client-server models, RESTful services, and microservices. Strong emphasis on code quality: code reviews, testing strategies (unit, integration, end-to-end), and engineering best practices. Experience with Agile/Scrum methodologies and managing delivery through sprints and iterative planning. Familiarity with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions). AI Fluency & Automation Mindset Demonstrated comfort with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, or similar IDE/CLI integrations). Familiarity with agentic workflows or automation frameworks used to streamline engineering, compliance, or operational processes. A proactive mindset toward identifying opportunities to apply AI and automation to reduce toil and improve outcomes. Willingness to experiment, evaluate new tooling, and lead a team through adoption of emerging AI capabilities. Data, Accessibility & Security Understanding of web analytics tools (e.g., Google Analytics, Mixpanel) and the ability to use data to inform engineering decisions. Familiarity with databases (SQL and NoSQL) and their integration with web applications. Knowledge of WCAG accessibility standards and experience implementing accessibility testing practices. Familiarity with process and controls required in SOC2 operations. Demonstrated experience leading in SOC2 environments preferred. Understanding of web security principles (OWASP guidelines) and data handling regulations (e.g., GDPR, CCPA), particularly important in a financial services context. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range Charlotte, NC Hybrid Compensation Range: $130,000 - $210,000 per year New York, NY Hybrid Compensation Range: $162,500- $262,500 per year Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-KS1 #LI-HYBRIDClick here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

🏢 Summary: Full-time Data Analytics Engineer role focused on building and maintaining scalable data models and dashboards within a Snowflake and DBT environment to support US business operations. The position combines data modeling, analytics engineering, stakeholder collaboration, and operational data support, with an emphasis on data quality and modern AI-assisted tooling. It offers ownership of data infrastructure improvements and close collaboration with cross-functional teams. 🗂️ Requirements: Strong experience building and structuring datasets, Proficiency in SQL, Hands-on experience with DBT Core, Hands-on experience with Snowflake, Experience building Tableau dashboards, Ability to manage stakeholder requirements independently, High attention to data quality, Familiarity with AI-assisted data tools, Familiarity with Salesforce 📃 Skills: SQL, DBT, Snowflake, Tableau, Salesforce, GitHubCopilot, Cursor, AI, LLM 🏢 Description: Data Analytics Engineer — Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available The US Analytics team is building the data foundations that power SumUp's US operations. We design reliable data models, keep our infrastructure clean, and turn complex datasets into insights the business can act on. You'll join at a point where there's real work to own — from shaping how data is structured to improving the tools and dashboards that teams rely on every day. If you're someone who's been close to data in an analytical role and is ready to go deeper into how it's built and maintained, this is a meaningful next step. Take a look at our Boulder office What you'll do Build, maintain, and document DBT models in a Snowflake environment, keeping data clean, reliable, and well-structured Develop and maintain Tableau dashboards and data sources that stakeholders across the business trust and use independently Rotate through day-to-day data operations support — handling ad hoc requests, troubleshooting reporting issues, and diagnosing pipeline problems Contribute to modernizing our data infrastructure, helping business stakeholders self-serve through AI-assisted tooling Own stakeholder relationships independently — gathering requirements, setting clear expectations, and communicating confidently with technical and non-technical audiences alike You'll be great for this role if… Strong experience building or structuring datasets — not just querying them based on others work Solid SQL and DBT Core skills, hands-on experience with Snowflake and Proven ability to build Tableau dashboards that stakeholders genuinely rely on Strong communicator who can own stakeholder conversations, gather requirements, manage expectations, and push back when a request isn't clearly defined High attention to data quality and the confidence to work through problems independently before escalating Familiarity with AI-assisted data tools such as GitHub Copilot or Cursor Familiarity with Salesforce Bonus points for: Advanced DBT experience Experience with self-serve or semantic data layers Contributions to an AI agent knowledge base or prompt engineering work Understanding of the limitations of LLMs when applied to data problems Previous experience in a fast paced, team environment Why you should join SumUp Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Boulder office. This involves an office-first setup Enrollment onto our Virtual Stock Option program: you will own a stake in SumUp's future success A dedicated annual learning budget of $2,000 for your individual development, which can be used to attend conferences and/or advance your career through further education Generous time off: 22 days of paid vacation, plus an extra day each year up to 28 days, public holidays, and special leaves Health and life coverage: group medical coverage, plus life insurance Financial security: 401(k) retirement scheme with SumUp matching funds Break4me: 1-month sabbatical after 3 years of service Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced Compensation: $100,000–$120,000 base salary Virtual Stock Options Final compensation will be based on the candidate's experience and location About SumUp Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 4,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok.Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don't tick every box, it's ok too because it means you have room to learn and develop your career at SumUp.