Note: The job is a remote job and is open to candidates in USA. Index Analytics is seeking a Senior Data Engineer to support government clients in modernizing data ecosystems and transitioning legacy analytics solutions to contemporary infrastructure. The role focuses on designing, building, and optimizing scalable data pipelines, cloud-based data solutions, data models, and monitoring frameworks using AWS, Snowflake, and modern DevOps practices.
Responsibilities
- Collaborate closely with stakeholders and cross‑functional, internal technical teams to gather requirements, document business rules and develop a thorough understanding of the business context and objectives
- Analyze data, create meaningful insights, and present information clearly to stakeholders
- Leverage experience with Medicare and Medicaid data to build data access and semantic layers for data products
- Develop and optimize data models, both conceptual and physical, to support analytics, reporting, and operational consumption
- Implement data quality, validation, and monitoring frameworks to ensure accuracy and reliability
- Improve end-to-end performance of data workflows
- Develop and maintain cloud-based data infrastructure using AWS services such as S3, Lambda, Glue, Step Functions, CloudWatch, SQS, DynamoDB, SageMaker and Event Bridge
- Collaborate to design secure, scalable, and cost‑optimized data solutions
- Contribute to cloud governance, security, and best practices
- Design, build, and maintain scalable, reliable ETL/ELT data pipelines using AWS and Snowflake
- Ensure data workflows are modular, testable, and properly version‑controlled
- Operationalize pipelines with monitoring, alerting, and automated recovery mechanisms
- Meet schedule deadlines and commitments with a high-level of quality of deliverables
- Collaborate with a team of cross-functional resources in an Agile delivery environment to deliver iterative value
Skills
- US citizen or lived in the US for 3 of the last 5 years
- Bachelor's degree or equivalent with eight (8) or more years of experience as Data Engineer or similar role
- Hands-on experience in SQL and Python is required
- Prior working knowledge of CMS enterprise repositories like IDR
- Working knowledge of Medicare Part B & Part D data and Medicaid data
- Strong proficiency in AWS services, Snowflake
- Strong proficiency in GitHub for source control, branching strategy and reviews
- Knowledge of data integration patterns, data warehousing, and modern data architecture
- Experience with object‑oriented programming and building with software engineering principles
- DevOps exposure, including CI/CD tools like Jenkins
- Strong written and verbal communication skills are required, ability to collaborate, present, and report to stakeholders on findings
- Knowledge of Agile framework, Scrum methodologies and knowledge of tools used to support them
- Prior experience with government agencies is a plus
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