Senior Data Engineer

Index Analytics LLC

Senior Data Engineer supporting Government clients to design and optimize scalable data pipelines with an emphasis on AWS and Snowflake. Requires a Bachelor's degree and ten years of experience.

Posted 6/30/2026full-timeRemote • Maryland • 🇺🇸 United StatesSenior💰 $131,100 - $173,250 per yearWebsite

Tech Stack

Tools & technologies

AWSETLJenkinsPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Health and retirement benefits
Discretionary bonuses
Reimbursement for professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonData ModelingData Integration PatternsData WarehousingObject-Oriented ProgrammingData Lake ConceptsData AnalysisAgile MethodologiesDevOps Practices

Soft Skills

Analytical SkillsCommunication SkillsCollaborationPresentation SkillsStakeholder Engagement