Data Scientist (Active Secret Clearance)

🏢 Summary: Technical pre-sales role owning discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform serving regulated enterprises. You will map complex data estates, quantify migration blast radius, address technical objections, and translate customer risk into actionable scope for delivery. This is a 0–1 environment where the SE-led POC is the primary driver of winning deals. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience, 5+ years experience across modern and legacy data stacks, Hands-on ability to lead and execute end-to-end POCs, Experience selling data or platform software to enterprise or regulated buyers, Fluency with ETL/ELT, data warehouses, lakehouses, BI, lineage, and governance tools, Proficiency using AI tools to enhance productivity and sales execution, Ability to engage both technical teams and senior business stakeholders, Authorization to work in the U.S. without sponsorship, Residence in an eligible U.S. state 📃 Skills: ETL, ELT, Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, BI, DataLineage, DataGovernance, Azure, AWS, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are seeking a Data Solutions Engineer / Architect to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative, client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do Lead technical discovery sessions with data, analytics, architecture, and platform leaders. Assess customer environments and identify data migration risks, dependencies, and lineage challenges. Demonstrate platform capabilities and articulate business value to both technical and executive audiences. Own proof-of-concept (POC) engagements from planning through successful completion. Design solution approaches that address customer modernization, governance, and migration objectives. Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation. Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. 5+ years of experience working with modern and legacy data ecosystems. Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience Data Architecture Data Engineering Data Governance Data Migration & Modernization Data Lineage & Metadata Management Enterprise Analytics Platforms Cloud Data Platforms Regulated Industry Environments How You Work You thrive in environments where processes are still being built and improved. You enjoy helping shape products, solutions, and go-to-market motions. You are comfortable operating with ambiguity and helping define the path forward. You approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have Experience supporting financial services, insurance, healthcare, or public sector organizations. Background in large-scale data migration or modernization programs. Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. Experience with Azure or AWS deployments within customer-controlled environments. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. US candidates will be considered.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 now or in the future. 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. 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:$150,000—$185,000 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: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Data Engineer / AI Engineer role focused on building scalable data systems and pipelines that support AI model training, data quality evaluation, and machine learning performance optimization. The position involves collaborating across teams to acquire, process, validate, and monitor large-scale datasets used in neural network training and scientific AI development. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Physics, Mathematics, or STEM field, 1+ years of data or software engineering experience, Experience implementing or analyzing language models or neural networks, Experience with production data pipelines, Strong Python programming skills, Knowledge of machine learning and statistical analysis, Experience with large-scale datasets, Ability to work in distributed production environments 📃 Skills: Python, Kubernetes, Parquet, MachineLearning, NeuralNetworks, Statistics, Analytics, DataEngineering, Clustering, Forecasting, AnomalyDetection 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: At SpaceXAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission. Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale. We work at the intersection of data, infrastructure, and machine learning to ensure our models train effectively and reliably. As a Data Engineer / AI Engineer on SpaceXAI's Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality evaluation, and delivery for model training. You will work closely with acquisition teams, ML engineers, and software engineers to identify data needs, build scalable data pipelines, and continuously improve the quality of the data that shapes model behavior. The ideal candidate combines strong software engineering fundamentals and excellent coding practices with deep intuition for statistics, neural networks, and how data quality influences training outcomes. RESPONSIBILITIES: - Analyze the performance and impact of data used throughout the model training lifecycle - Investigate anomalous model behavior and rigorously identify the data issues that drive poor downstream performance - Design, build, and improve the data cleaning, transformation, and quality-control steps required to produce high-quality training data - Research, evaluate, and develop frontier methods for improving data quality and effectiveness in AI model development - Apply statistical techniques and empirical analysis to make informed, data-driven decisions about dataset quality and model outcomes - Partner across teams to identify where data needs exist and define the highest-impact opportunities for new data acquisition and improvement - Build and maintain production-grade data pipelines, tooling, and software systems that ingest, process, validate, and deliver data for training - Develop metrics, evaluation frameworks, and monitoring systems to assess how data quality influences model behavior at scale - Fuse data from multiple sources into reliable, usable datasets for research and production model training - Create shared datasets, tooling, and internal data products that enable other teams to analyze, debug, and improve model performance BASIC QUALIFICATIONS: - Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline - 1+ years of data/software engineering experience (internship experience is applicable) - Experience in implementing or analyzing language models or neural networks PREFERRED SKILLS AND EXPERIENCE: - Professional experience in analytics, data science, machine learning, or data engineering - Experience building and operating production data pipelines for neural network or large-scale machine learning workloads - Strong experience with Python and the broader ecosystem of libraries and tools used in modern machine learning and data development - Experience working with Parquet or similar columnar storage formats in large-scale data systems - Familiarity with Kubernetes and distributed production environments - Experience developing predictive models and machine learning pipelines, including clustering, forecasting, anomaly detection, or related techniques - Experience working with very large-scale datasets, including terabyte- to petabyte-scale data systems - Strong statistical intuition and the ability to use quantitative analysis to guide technical and product decisions, including familiarity of scaling ladder design studies - Ability to operate effectively in a dynamic environment with evolving priorities, changing requirements, and fast-moving technical challenges - Demonstrated ability to take ownership of ambiguous problems, drive projects independently, and develop new expertise where needed COMPENSATION AND BENEFITS - $150,000 - $210,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Software Engineer role focused on building scalable data platforms and pipelines that support AI model training, data acquisition, quality evaluation, and orchestration. The position involves developing reliable infrastructure, monitoring systems, and training workflows while collaborating closely with ML and data engineering teams. Candidates should have strong software engineering fundamentals and experience with modern programming languages, distributed systems, and data technologies. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Engineering, Math, Physics, or related scientific field OR 2+ years of professional software development experience, 1+ years of experience in application development, 1+ years of experience in software engineering, data engineering, or data science, Experience with programming languages such as Python, Rust, Java, C#, Scala, or Go, Experience with frontend frameworks such as Angular or React, Hands-on experience with Kubernetes and containerized deployments, Understanding of version control, testing, continuous integration, deployment, and monitoring, Understanding of statistics and machine learning frameworks 📃 Skills: Python, Rust, Java, C#, Scala, Go, Angular, React, Kubernetes, Ray, PostgreSQL, Iceberg, Clickhouse, Grafana, Superset, JavaScript, SQL, CI, CD, Docker, MachineLearning 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: At SpaceXAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission. Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale. We work at the intersection of software, data, infrastructure, and machine learning to ensure our models train effectively and reliably. As a Software Engineer on SpaceXAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. You will provide the ability to run training in a reliable, scalable and repeatable manner. You will also provide visibility on training status and data lineage. You will work closely with acquisition teams, ML engineers, and data engineers to build a reliable data pipeline to run training at scale. The ideal candidate combines strong software engineering fundamentals and excellent coding practices. RESPONSIBILITIES: - Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training - Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance - Collaborate with peers on architecture, design, and code reviews - Build prototypes to prove out key design concepts and quantify technical constraints - Own all aspects of software engineering and product development - Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: - Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree - 1+ years of experience in application development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: - Programming experience in Python, Rust, Java, C#, Scala, Go or similar languages - Frontend experience in Angular, React, or similar JavaScript frameworks - Hands-on experience with Kubernetes and containerized deployments - Experience with Ray, AI training and orchestration - Experience with relational and non-relational databases, data lakes e.g. PostgreSQL, Iceberg, Clickhouse, or similar - Experience with data exploration tools like Grafana, Superset, or similar - Good understanding of version control, testing, continuous integration, build, deployment and monitoring - Good understanding of statistics, machine learning algorithms and frameworks COMPENSATION AND BENEFITS: - $150,000 - $250,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 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: The role involves developing, automating, and supporting cloud-native applications and infrastructure within an agile team. The position focuses on building and enhancing services using Python and Java ecosystems, managing SQL Server databases, and maintaining cloud-based Linux and Windows systems. It requires active contribution to CI/CD processes and modern software engineering practices. 🗂️ Requirements: Master’s degree in Computer Science, Information Technology or equivalent experience, Minimum 4 years of experience with Python and Java ecosystems, Minimum 4 years of experience with web technologies, Experience with MS SQL Server databases, Experience with Linux and Windows environments, Experience with AWS, Proficiency with Git and CI/CD practices, Experience with modern development tools and Agile (Scrum) 📃 Skills: Python, Java, Spring, Maven, JUnit, HTML, CSS, JavaScript, TypeScript, JSON, XML, SQL, SQLServer, Linux, Bash, Windows, PowerShell, AWS, Git, CI/CD, Jira, Confluence, Scrum 🏢 Description: Who we are looking for We are seeking a smart, experienced, and talented individual that takes a service-oriented approach to their work and is passionate about software development and process automation. In this role you will work as part of an agile team of software developers and systems engineers responsible for building, supporting, and enhancing the feature set of our cloud-native technology stack. Current skills using programming languages/tools for our active code bases are required.  These include both Python, and Java ecosystems, web development in Windows and Linux environments. Proficiency in developing with SQL Server databases is key to this role and strong skills are required. Candidates must be able to demonstrate proficiency with Git and modern CI/CD software engineering practices. What you will be responsible for Development of new processes, services and applications using modern software development languages, tools, and methodologies Automation, configuration, monitoring and troubleshooting of cloud-based Linux and Windows systems Collaborate with geographically dispersed, cross-functional teams to streamline workflows Support business users with technical issues Identify root causes for technical problems and continuously refine our infrastructure Define and document workflows and operating procedures for complex systems What we value A successful candidate will be an independent contributor, service-focused team player, eager to learn new technologies, skilled in using modern software development tools, familiar with automation techniques, and exceptional at helping people find innovative solutions to challenging problems. This job is an excellent fit for someone eager to make key contributions in our fast-paced, ever-evolving environment who has a passion for quality, problem solving, and good attention to detail. Education & Preferred Qualifications Master's degree in computer science or information technology (or similar) or equivalent experience min. 4 years of experience writing software in Python and Java ecosystems (Spring, Maven, JUnit) min. 4 years of experience with web technologies (HTML, CSS, JavaScript, TypeScript, JSON, XML) experience developing with MS SQL Server databases familiarity with Linux (bash) and Windows environments (PowerShell) experience building and deploying systems using Amazon Web Services (AWS) Proficient with modern software development tools (IDEs, CI/CD, GIT, Jira, Confluence, etc.) and agile (scrum) management practices. Note: The role requires a minimum of three days per week working from the office Minimum Salary: ​ zł182,004 Annual The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​ Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​ In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​​ We Offer: ​ Permanent contract from day one​ Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​ Gold Medical Package for employees and their families (partner and children)​ Premium life insurance package and private pension plan​ Wide range of soft skills training, technical workshops, language classes and development programs​ Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​ Variety of well-being programs​ Additional benefits available depending on the seniority of the role About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Benefits Medical Care and Insurance We provide a range of medical plans that cover you and your dependents. You can also take advantage of our employee and family life insurance, accidental death and dismemberment coverage. Well-Being Programs State Street's BeWell helps employees proactively manage their well-being. Our Employee Assistance Program (EAP) provides personal and confidential assistance for a broad range of issues. Financial Well-Being Depending on where you work, you will be eligible for regionally specific savings and/or retirement plans. We also provide resources and host local events to educate employees on achieving financial well-being. Holidays and Time Off We provide our employees with a highly competitive holiday and paid vacation allowance, with considerations for local requirements. We also offer our employees two paid days off to volunteer their time to company-driven initiatives or organizations of their choice.​​​​​​​ Supporting Families We are committed to supporting all employees and the ones they care about.  Some of our programs include paid parental leaves, back-to-work support, adoption assistance or flex work arrangements. Other Benefits Among others benefits, you may have access to group savings, discounts at sport clubs and cinemas, and our new employee referral bonus program.

🏢 Summary: Remote founding Sales Solutions Engineer role focused on guiding enterprise clients through data lineage, migration impact analysis, and modernization platform evaluations. The position combines pre-sales consulting, data architecture, proof-of-concept leadership, and customer-facing technical solution design for regulated industries. Compensation includes base salary, variable incentives, and opportunities to influence product and go-to-market strategy. 🗂️ Requirements: 3+ years in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or similar client-facing technical role, 5+ years working with modern and legacy data ecosystems, Experience with ETL/ELT platforms, Experience with modern data platforms and cloud technologies, Knowledge of data governance, metadata management, and data lineage, Ability to lead technical workshops, demonstrations, and proof-of-concept engagements, Strong communication skills with technical and executive stakeholders, Authorization to work in the U.S. without sponsorship, Residence in eligible U.S. states 📃 Skills: ETL, ELT, Informatica, Talend, DataStage, Snowflake, Databricks, Teradata, Fabric, Azure, AWS, Collibra, Alation, DataVault, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative role, that of a founding sales engineer, which is a client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do - Lead technical discovery sessions with data, analytics, architecture, and platform leaders. - Assess customer environments and identify data migration risks, dependencies, and lineage challenges. - Demonstrate platform capabilities and articulate business value to both technical and executive audiences. - Own proof-of-concept (POC) engagements from planning through successful completion. - Design solution approaches that address customer modernization, governance, and migration objectives. - Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. - Collaborate closely with delivery teams to ensure a seamless transition from sales to implementation. - Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring - 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. - 5+ years of experience working with modern and legacy data ecosystems. - Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. - Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. - Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. - Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. - Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience - Data Architecture - Data Engineering - Data Governance - Data Migration & Modernization - Data Lineage & Metadata Management - Enterprise Analytics Platforms - Cloud Data Platforms - Regulated Industry Environments How You Work - Thrive in environments where processes are still being built and improved. - Enjoy helping shape products, solutions, and go-to-market motions. - Comfortable operating with ambiguity and helping define the path forward. - Approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have - Experience supporting financial services, insurance, healthcare, or public sector organizations. - Background in large-scale data migration or modernization programs. - Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. - Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. - Experience with Azure or AWS deployments within customer-controlled environments. Compensation - Base Salary: $150,000–$180,000 - Target Variable Compensation: $40,000 tied to key business growth milestones - Target On-Target Earnings (OTE): $190,000–$220,000 As an early member of a growing platform business, you'll have the opportunity to directly influence customer adoption, product-market fit, and go-to-market strategy. The performance component is designed to recognize meaningful contributions to customer acquisition and platform growth. As the business scales and establishes a repeatable sales motion, the compensation structure may evolve into a traditional quota-based model with performance accelerators and expanded earning potential. Why This Opportunity Is Different This is not simply a role within an established sales organization. It is an opportunity to help build a business. Successful candidates will play a meaningful role in shaping customer references, validating market demand, refining the sales process, and influencing product direction. For individuals who enjoy operating in a high-impact, entrepreneurial environment, there is significant opportunity to grow alongside the platform. Location - Remote role with 25% travel. - Ideal candidate located in or near Austin, TX, though all eligible U.S. candidates will be considered. - Applicants must be authorized to work for any employer in the U.S. without sponsorship. - Candidates must reside in eligible U.S. states. Benefits Employees may be eligible for discretionary bonuses, commissions, incentive programs, and a comprehensive benefits package including medical, dental, vision, 401(k), and paid time off. Equal Opportunity 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.

🏢 Summary: Senior Software Engineer role focused on designing and building AI-powered backend systems that automate healthcare operations while supporting human workflows. The position involves hands-on system architecture, workflow orchestration, distributed systems, and AI process automation in a regulated environment. Remote-first work with required overlap with US Central Time. 🗂️ Requirements: 6+ years of experience building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering skills, Experience with asynchronous, event-driven, or workflow-based distributed systems, Ability to work with 4–5 hour daily overlap with US team, Experience with AI or LLM-based systems and process automation, Strong spoken and written English communication skills, Ability to solve unclear problems with incomplete information, Self-motivated with strong ownership and responsibility 📃 Skills: TypeScript, Node.js, AI, LLM, Claude, Backend, APIs, HIPAA 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.

🏢 Summary: Senior Software Engineer role focused on designing and building scalable backend systems that combine AI automation with human workflows in a regulated healthtech environment. The position involves hands-on system design, workflow orchestration, and development of reliable, auditable AI-powered processes integrated with external platforms. The engineer will lead technical decisions and ensure production-grade reliability, safety, and scalability. 🗂️ Requirements: 6+ years building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering experience, Experience with asynchronous or event-driven distributed systems, Experience with workflow-based systems, Experience integrating AI or LLM-based systems into business workflows, Ability to design scalable, reliable, and auditable systems, Experience working with external or legacy APIs, Ability to overlap 4–5 hours with US time zone, Strong English communication skills 📃 Skills: TypeScript, Node.js, AI, LLM, Anthropic, Claude, APIs, DistributedSystems, EventDriven, Workflows, Backend, Architecture, Monitoring, Testing 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.