Adobe Target Consultant / Engineer

🏢 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: Senior AEM Engineer role focused on designing, developing, and supporting enterprise-scale digital experiences using Adobe Experience Manager Sites and Assets. The position involves building reusable components, templates, workflows, and integrations while ensuring scalable, secure, and high-performing solutions. This is a hands-on senior role working across architecture, DevOps, UX, and QA teams. 🗂️ Requirements: 7+ years software development experience, 4+ years hands-on experience with Adobe Experience Manager, Strong expertise in AEM Sites and Assets, Experience developing AEM components and templates, Hands-on experience with Sling Models, HTL, OSGi, and Java, Experience integrating AEM with REST APIs and external systems, Experience with CI/CD tools and deployment processes, Ability to deliver secure and scalable enterprise solutions 📃 Skills: AEM, Java, OSGi, Sling, HTL, REST, Git, Maven, Jenkins, CloudManager 🏢 Description: Job Summary We are seeking a highly skilled Senior Adobe Experience Manager (AEM) Engineer to design, develop, and support enterprise-scale digital experiences using Adobe Experience Manager Sites and Assets. In this role, you will build reusable AEM components, templates, workflows, and integrations that power modern content-driven platforms. The ideal candidate brings deep expertise in AEM architecture, Java-based development, OSGi frameworks, and cloud deployment practices, along with strong collaboration skills to partner across UX, DevOps, QA, and solution architecture teams. This is a hands-on senior engineering role focused on delivering scalable, secure, and high-performing AEM solutions. Key Responsibilities Develop and enhance AEM Sites and Assets features, including components, templates, Content Fragments, and workflows. Build scalable solutions using Sling Models, HTL, OSGi, and Java best practices. Integrate AEM with backend services, APIs, and third-party platforms. Configure, support, and troubleshoot AEM environments across Dev, Stage, and Production. Contribute to CI/CD pipelines and deployment processes using tools such as Git, Maven, Jenkins, and Adobe Cloud Manager. Ensure solutions meet security, performance, and coding standards. Collaborate with UX, architecture, DevOps, and QA teams to deliver high-quality digital experiences. Required Qualifications 7+ years of software development experience, including 4+ years working with Adobe Experience Manager (AEM). Strong expertise in AEM Sites and Assets, including component and template development. Hands-on experience with Sling Models, HTL (Sightly), OSGi, and Java-based AEM frameworks. Experience integrating AEM with REST APIs and external enterprise systems. Familiarity with CI/CD and deployment tools such as Git, Maven, Jenkins, and Adobe Cloud Manager. Ability to deliver secure, scalable solutions in production enterprise environments. Strong communication and collaboration skills as a senior individual contributor. Preferred Qualifications Adobe AEM Developer or Architect certification. Experience with AEM as a Cloud Service. Background working in Agile teams and mentoring junior engineers. Location This role is a remote role that requires candidate to go onsite for 1st week minimum. Candidates must reside within the physical US. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. Not open to 3rd party/C2C engagement We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range:$38—$50 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready models for PBM and care navigation operations using dbt, SQL, and cloud data platforms. The position involves developing reliable data pipelines, implementing data quality frameworks, and enabling self-service and AI-assisted analytics capabilities. Candidates will collaborate across technical and business teams to create maintainable, auditable, and high-performance data solutions. 🗂️ 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, Effective communication and collaboration skills 📃 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: Senior AEM Developer role focused on designing, developing, and leading enterprise-scale Adobe Experience Manager solutions. The position combines hands-on AEM development with architectural decision-making, technical leadership, and end-to-end delivery ownership. It involves driving best practices, ensuring scalability and performance, and collaborating closely with cross-functional stakeholders. 🗂️ Requirements: 5+ years of hands-on AEM development experience (AEM 6.5+ or AEM as a Cloud Service), Strong experience with AEM Sites (components, templates, editable templates, content fragments, experience fragments), Proficiency in Sling, OSGi, JCR, Dispatcher, AEM security, Strong Java and HTL skills, Experience leading technical teams, Knowledge of software design patterns and modular architecture, Experience with Git, Experience with Maven or Gradle, Experience with CI/CD pipelines, Bachelor’s degree in Computer Science, Engineering, or related field or equivalent experience 📃 Skills: AEM, Java, HTL, Sling, OSGi, JCR, Dispatcher, Git, Maven, Gradle, CI/CD, JavaScript, TypeScript, CSS, SCSS, Webpack, React, Cypress, Playwright, AWS, Azure, GCP, Docker 🏢 Description: We are looking for a Senior AEM Developer with proven leadership capabilities to design, develop, and lead implementation of enterprise-scale Adobe Experience Manager (AEM) solutions. The ideal candidate combines deep technical expertise in AEM with the ability to guide a team, influence architecture decisions, and collaborate with business stakeholders. Key Responsibilities Technical Leadership & Architecture Lead the design and architecture of AEM-based solutions Define technical standards, best practices, and development guidelines for AEM projects. Review and validate solution designs to ensure scalability, performance, security, and maintainability. Make key technology choices and drive adoption of modern AEM features and frameworks. Development & Delivery Implement complex AEM components, templates, workflows, OSGi services, and integrations with external systems. Oversee end-to-end development lifecycle: requirements analysis, estimation, development, code review, testing, deployment, and support. Ensure code quality through peer reviews, automated testing, and adherence to coding standards. Troubleshoot and resolve performance, security, and integration issues in AEM environments. Team Leadership & Mentoring Lead and mentor a team of AEM developers (onshore/offshore), providing technical direction and guidance. Coordinate tasks, manage workloads, and support professional growth of team members. Facilitate knowledge sharing, conduct technical workshops, and improve team capabilities around AEM and related technologies. Act as the escalation point for complex technical issues. Stakeholder Collaboration Work closely with product owners, business analysts, UX/UI designers, QA, DevOps, and other engineering teams. Translate business requirements into technical solutions and clearly communicate technical constraints and possibilities. Participate in roadmap planning, effort estimation, and release planning. Provide technical input during client and stakeholder meetings. Process & Continuous Improvement Contribute to and improve development processes (CI/CD, branching, code review, release management). Evaluate new AEM features, tools, and frameworks and recommend improvements to existing solutions. Promote best practices in application security, performance optimization, and cloud-native deployments (e.g., AEM as a Cloud Service, Adobe Managed Services). Required Qualifications 5+ years of hands-on experience in AEM development (preferably AEM 6.5+ and/or AEM as a Cloud Service). Strong experience with: AEM Sites (components, templates, editable templates, content fragments, experience fragments) Sling, OSGi, JCR, Dispatcher, and AEM security concepts Java, HTL (Sightly), HTML It would be also beneficial to be familiar with: JavaScript/TypeScript, , CSS, SCSS Webpack React AEM Core Component Cypress, Playwright Proven experience in technical leadership roles (team lead, tech lead, or similar). Solid understanding of software design patterns, modular architecture, and best practices. Experience with version control (Git), build tools (Maven/Gradle), and CI/CD pipelines. Familiarity with cloud environments (AEM as a Cloud Service, AWS/Azure/GCP) and containerization concepts is a plus. Strong communication skills, with the ability to explain complex technical topics to non-technical stakeholders. Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Desired Soft Skills Leadership mindset, proactive ownership, and accountability. Strong problem-solving and analytical skills. Ability to work in an agile environment and manage multiple priorities. Coaching and mentoring attitude, collaborative working style. What we offer: The opportunity to participate in a variety of projects. Multisport Plus card. Private medical care (LUX MED). Group insurance. Access to comprehensive psychological support, individual sessions with coaches and psychodietitians, as well as inspiring webinars. Remote work from any location, or a hybrid model using our offices located in Poznań. A home office package to increase remote work comfort (chair, additional monitor, ergonomic mouse, etc.). Modern offices equipped with amenities such as a pool table, foosball, darts, and relaxation zones. Opportunities to spend time together after work - combining our employees’ passions through ski trips, cycling tours, and sailing adventures. Regular company-wide and team-based integration events, as well as many other occasions to meet and exchange ideas with colleagues. Celebrations of important moments in the lives of our employees An open approach to new ideas and initiatives, including charity actions.

🏢 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: The role involves leading SaaS platform implementations for advertising operations clients, translating business requirements into technical solutions and configuring the product to meet customer needs. You will collaborate with stakeholders, manage full-cycle implementations, deliver product demonstrations and training, and ensure successful system integration and adoption. The position combines technical consulting, solution design, data work, and client-facing responsibilities in a growth-stage environment. 🗂️ Requirements: 2+ years hands-on experience in Professional Services, Enterprise Product Implementation, Technical Business Analysis, Revenue Operations, Sales Operations, or Data Analysis, Experience with full-cycle SaaS implementations, Experience in requirements gathering and documentation, Experience in solution design and product configuration, Experience in data import/export and data mapping, Experience in system testing and end-user training, Strong process documentation and process improvement skills, Ability to present technical solutions to technical and non-technical stakeholders, Experience with cross-functional system implementation rollouts, Admin-level experience in at least one enterprise system (e.g., CRM, ERP, Ad Server) 📃 Skills: SQL, Python, Salesforce, Dynamics, Zendesk, Intercom, Workato, ServiceNow, Tray.io, Netsuite, Workday, Oracle, GAM, Freewheel, Xandr, SaaS, CRM, ERP 🏢 Description: The Solutions Consulting Team: The Solutions Consulting team is the face of the company during implementation and ongoing growth. The team helps customers by solving problems, designing and scaling solutions, incubating new products, and sharing user feedback with internal teams to influence product development. They act as key partners to customers and internal teams to drive customer success. The team offers significant ownership and responsibility, supports personal development, and respects work-life balance. The Position: As a Solutions Consultant, you will collaborate with clients' business and technology stakeholders to implement solutions that enable success on the platform. Based on customer requirements, you will provide consultative recommendations on how to best use and configure the platform and ensure solution design and system deliverables meet defined acceptance criteria. You will configure and present tailored product demonstrations throughout implementation and end-user training. You will work with internal teams to ensure customer success and serve as a customer advocate with the product team. You must demonstrate strong analytical, technical, and business judgment, map business requirements to system and technical requirements, and manage expectations related to scope of work. The role requires excellent project management, organizational, and problem-solving skills. Candidates must quickly become experts in the functional and technical aspects of the product and related integration points and be skilled presenters of product features and benefits aligned to customer needs. Requirements: Excellent written and verbal communication skills Ability to understand and present complex technical capabilities and solutions to technical and non-technical audiences Strong business process, process documentation, and process improvement skills 2+ years of recent hands-on Professional Services, Enterprise Product Implementation, Technical Business Analyst, Revenue Operations, Sales Operations, or Data Analyst experience Experience working with clients and stakeholders during full cycle SaaS implementations Enterprise implementation experience including requirements gathering and documentation, solution design, product configuration, data import/export, testing, and training Ability to creatively find product solutions to solve client requirements Demonstrated experience in systems implementation rollouts across cross-functional groups Admin-level experience in one or more systems such as Salesforce.com, Dynamics CRM, Zendesk, Intercom, Workato, ServiceNow, Tray.io, Netsuite, Workday, Oracle, or Ad Servers (e.g., GAM, Freewheel, Xandr) SQL, data management, and data mapping experience preferred Python experience is a bonus Experience in Ad Tech space is a plus Benefits Include: Competitive salary Early-stage stock options Open PTO 401k match Company paid medical, dental, vision, and life insurance Regular company lunches and happy hours Gym membership reimbursement Cell phone reimbursement

🏢 Summary: Shift-based Technical Support Engineer role focused on diagnosing and resolving complex production issues in a SaaS clinical AI platform, acting as the bridge between customers and engineering. The position involves incident response, system troubleshooting, SQL-based investigations, and improving operational reliability for global customers. Ideal for candidates experienced in production support within fast-paced, cloud-based environments. 🗂️ Requirements: 2+ years in Technical Support, Production Support, Technical Operations, or similar customer-facing technical role, Strong troubleshooting and analytical skills in complex production environments, Proficiency in SQL for data investigation and root cause analysis, Ability to analyze distributed systems and application layers, Experience collaborating with Engineering teams on escalations and resolutions, Experience handling production incidents, alerts, and customer-impacting issues, Availability for shift-based work including evenings, weekends, and holidays 📃 Skills: SQL, SaaS, REST, API, Datadog, Grafana, NewRelic, Python, Bash, AWS, GCP, Azure, Salesforce, Jira, Atlassian, Monday.com, Slack 🏢 Description: About this role We are looking for a customer-obsessed Technical Support Engineer who thrives at the intersection of customers, production systems, and engineering. In this role, you will act as a critical bridge between our customers and internal engineering teams diagnosing complex technical issues, coordinating production incident response, and helping ensure the reliability of our platform for customers around the world. You will investigate technical problems, analyze system behavior, respond to production alerts, and drive issues through to resolution while maintaining clear and proactive communication with customers and internal stakeholders. This role is ideal for someone who enjoys deep technical troubleshooting, working directly with production systems, and advocating for customers, while building strong expertise in a fast-paced SaaS environment. This is a shift-based role supporting our global customers, which may include Pacific Time business hours, evenings, weekends, and some holidays. Responsibilities Own Customer Impacting Issues Serve as the primary technical owner for complex customer issues and escalations. Investigate and resolve technical problems spanning multiple systems and services. Provide clear, proactive communication to customers throughout the lifecycle of an issue. Coordinate Production Incident Response Monitor and triage production alerts impacting customers or system reliability. Coordinate incident response efforts across engineering and internal teams. Ensure incidents are properly documented, communicated, and followed through to resolution. Troubleshoot Systems and Data Diagnose issues using logs, system metrics, and SQL queries. Analyze system behavior to identify root causes of production problems. Escalate and partner with engineering teams to drive long-term fixes. Improve Reliability and Operational Excellence Develop and maintain troubleshooting documentation, runbooks, and operational processes. Identify recurring patterns and contribute to systemic improvements. Help strengthen incident response and operational best practices as the organization scales. Enable the Broader Support Team Share technical insights and best practices with colleagues. Act as a technical resource within the Support organization. Impact You'll Have Ensure platform reliability for customers worldwide by diagnosing and resolving complex production issues. Serve as a critical bridge between customers and engineering, bringing technical insight and real-world production context to accelerate resolutions. Strengthen our production support capabilities by improving troubleshooting processes, documentation, and incident response practices. Help scale a modern, high-impact Support organization, contributing ideas that improve how we detect, investigate, and resolve issues as the company grows. Requirements Exceptional communication skills with a customer-first mindset, capable of translating complex technical issues into clear and actionable insights. A demonstrated ability to get on a call or have a remote session with a customer during less-than-optimal times, to troubleshoot and put them at ease. 2+ years of experience in Technical Support, Production Support, Technical Operations, or a similar customer-facing technical role. Strong troubleshooting and analytical skills, with the ability to quickly diagnose and resolve complex technical issues. Proficiency in SQL for data investigation, troubleshooting, and root cause analysis within production environments. Ability to analyze system behavior, investigate anomalies, and debug issues across distributed systems and application layers. Experience partnering closely with Engineering teams to escalate issues, provide technical context, and drive timely resolution. Comfortable operating in fast-paced production environments, including handling incidents, alerts, and time-sensitive customer-impacting issues. Nice to Have Experience participating in incident response, production alerting, or on-call rotations in a live production environment. Familiarity with observability, monitoring, and debugging tools used to investigate system performance and reliability issues. Experience supporting or operating within SaaS or cloud-based platforms. Working knowledge of support, collaboration, and ticketing tools such as Salesforce, Jira / Atlassian, Monday.com, or Slack. Bonus Experience debugging API integrations, working with REST endpoints, request/response payloads, and authentication mechanisms. Comfort analyzing application logs, system metrics, and traces to diagnose production issues. Familiarity with modern observability and monitoring platforms such as Datadog, Grafana, or New Relic. Basic scripting or automation skills (Python, Bash, or similar) to streamline investigations or repetitive support workflows. Exposure to cloud infrastructure platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure. What we offer: A range of medical, dental and vision benefits Stock options for all full-time employees Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met. A 401(k) plan with company match, life insurance, plus long- and short-term disability The opportunity to directly improve medical care and impact patient outcomes Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

🏢 Summary: Shift-based Technical Support Engineer role focused on diagnosing and resolving complex production issues in a global SaaS clinical AI platform. The position acts as a bridge between customers and engineering, owning customer-impacting incidents, troubleshooting distributed systems, and coordinating incident response. Ideal for candidates experienced in SQL-driven investigations, production environments, and cross-team technical collaboration. 🗂️ Requirements: 2+ years in Technical Support, Production Support, Technical Operations, or similar customer-facing technical role, Strong troubleshooting and analytical skills in production environments, Proficiency in SQL for data investigation and root cause analysis, Ability to debug issues across distributed systems and application layers, Experience collaborating with Engineering teams on escalations and resolutions, Ability to handle production incidents, alerts, and time-sensitive customer issues, Willingness to work shift-based schedule including evenings, weekends, and holidays, Ability to conduct live troubleshooting sessions with customers 📃 Skills: SQL, SaaS, REST, APIs, Datadog, Grafana, NewRelic, Python, Bash, AWS, GCP, Azure, Salesforce, Jira, Atlassian, Monday, Slack 🏢 Description: About this role We are looking for a customer-obsessed Technical Support Engineer who thrives at the intersection of customers, production systems, and engineering. In this role, you will act as a critical bridge between customers and internal engineering teams, diagnosing complex technical issues, coordinating production incident response, and ensuring the reliability of the platform for customers around the world. You will investigate technical problems, analyze system behavior, respond to production alerts, and drive issues through to resolution while maintaining clear and proactive communication with customers and internal stakeholders. This is a shift-based role supporting global customers, including Pacific Time business hours, evenings, weekends, and some holidays. Responsibilities Own Customer Impacting Issues - Serve as the primary technical owner for complex customer issues and escalations. - Investigate and resolve technical problems spanning multiple systems and services. - Provide clear, proactive communication to customers throughout the lifecycle of an issue. Coordinate Production Incident Response - Monitor and triage production alerts impacting customers or system reliability. - Coordinate incident response efforts across engineering and internal teams. - Ensure incidents are properly documented, communicated, and followed through to resolution. Troubleshoot Systems and Data - Diagnose issues using logs, system metrics, and SQL queries. - Analyze system behavior to identify root causes of production problems. - Escalate and partner with engineering teams to drive long-term fixes. Improve Reliability and Operational Excellence - Develop and maintain troubleshooting documentation, runbooks, and operational processes. - Identify recurring patterns and contribute to systemic improvements. - Help strengthen incident response and operational best practices as the organization scales. Enable the Broader Support Team - Share technical insights and best practices with colleagues. - Act as a technical resource within the Support organization. Impact You'll Have - Ensure platform reliability for customers worldwide by diagnosing and resolving complex production issues. - Serve as a bridge between customers and engineering, bringing technical insight and production context to accelerate resolutions. - Strengthen production support capabilities by improving troubleshooting processes, documentation, and incident response practices. - Help scale a modern Support organization, contributing ideas that improve detection, investigation, and resolution of issues. Requirements - Exceptional communication skills with a customer-first mindset. - Ability to conduct remote troubleshooting sessions with customers. - 2+ years of experience in Technical Support, Production Support, Technical Operations, or similar role. - Strong troubleshooting and analytical skills. - Proficiency in SQL for production data investigation and root cause analysis. - Ability to debug distributed systems and application layers. - Experience partnering with Engineering teams to drive timely resolutions. - Comfort operating in fast-paced production environments handling incidents and alerts. Nice to Have - Experience with incident response, production alerting, or on-call rotations. - Familiarity with observability, monitoring, and debugging tools. - Experience supporting SaaS or cloud-based platforms. - Working knowledge of tools such as Salesforce, Jira / Atlassian, Monday.com, or Slack. Bonus - Experience debugging API integrations, REST endpoints, request/response payloads, and authentication mechanisms. - Experience analyzing application logs, system metrics, and traces. - Familiarity with Datadog, Grafana, or New Relic. - Basic scripting or automation skills (Python, Bash, or similar). - Exposure to cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure. What We Offer - Medical, dental, and vision benefits. - Stock options for full-time employees. - Flexible time off without accrual limits, coordinated with team needs. - 401(k) plan with company match, life insurance, and long- and short-term disability coverage. - Opportunity to directly improve medical care and patient outcomes.