Senior Data Engineer

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. They are seeking a Senior Data Engineer to support Government clients in designing, building, and optimizing scalable data pipelines and cloud-based solutions. The role involves modernizing the organization’s data ecosystem and collaborating with cross-functional teams to implement robust data solutions.

Responsibilities:

• Collaborate closely with stakeholders, cross‑functional and internal technical teams to gather requirements, document business rules and develop thorough understanding of the business context and objectives
• Collaborate to design secure, scalable, and cost‑optimized data solutions
• Design, build, and maintain scalable, reliable ETL/ELT data pipelines using AWS, Snowflake and Snowflake tools
• Develop and optimize data models, both conceptual and physical, to support analytics, reporting, dashboards and operational consumption
• Implement data quality, validation, and monitoring frameworks to ensure accuracy and reliability
• Ensure data workflows are modular, testable, and properly version‑controlled
• Operationalize pipelines with monitoring, alerting, and automated recovery mechanisms
• Conduct advanced data analysis using languages such as Python and SQL
• Develop documentation to include data models, data dictionaries, and data usage guides
• Improve end-to-end performance of data workflows
• Build and maintain CI/CD pipelines using Jenkins to support automated testing, deployments, and continuous integration
• 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

Requirements:

• US citizen or lived in the US for 3 of the last 5 years. Must be able to obtain a U.S. Federal government client badge and pass a government background investigation
• Bachelor's degree or equivalent with ten (10) or more years of experience as Data System Architect, Engineer or similar role
• Hands-on experience using Snowflake tools, SQL and Python is required
• Strong proficiency in Snowflake, AWS services as well as with GitHub for source control, branching strategy and reviews
• Knowledge of data integration patterns, data warehousing, and modern data architecture
• Strong analytical and communication skills, including the ability to analyze data, create meaningful insights, and present information clearly to stakeholders
• Experience with object‑oriented programming and building with software engineering principles
• DevOps exposure, including CI/CD tools like Jenkins
• Understanding of Data Lake concepts
• Knowledge of Agile framework, Scrum methodologies and tools used to support them
• Strong written and verbal communication skills are required, ability to collaborate, present, and report to stakeholders on findings
• Prior experience with government agencies and fraud detection systems is a plus