Developer

Role: Sr Developer (SQL / Data, AWS, analytics)

Location: Rockville, MD or Tysons, VA (3 days onsite per week)

Role: Seeking Analytics engineer with strong SQL/AWS who will think about how to engineer / transform data into more meaningful analytics

*Not an ETL developer or ‘keep the lights on’ engineer role

*Probably not a pure BI engineer

Possible profiles: Hybrid data analyst/engineer, data engineer, SQL developer, data/cloud engineer, analytics engineer, AWS data engineers

Must have’s:

• Strong SQL background
• Strong AWS ß Have one of these in order of priority: Athena …or RDS…or Hive (AWS based data querying)
• Strong analytical background: Know how to transform data/analytics and related solutions

Nice to have’s:

• Python, AI, CI/CD

Space: Modernization phase: Will support Diver and scale up into other applications

JD: Senior role focused on delivering analytics, dashboards, and insights using existing enterprise data. Works across SQL and AWS (Athena, RDS, Hive) to enable business decision-making through reliable and scalable reporting solutions. Not an ETL/data pipeline role.

This is not a task execution role—expected to challenge the status quo, question assumptions, and drive better data-driven decisions.

• Build and optimize SQL-based analytics and reporting solutions

• Analyze data using AWS services (Athena, RDS, Hive)

• Develop and maintain dashboards and KPI reports

• Define and refine business metrics and KPIs with stakeholders

• Improve analytics efficiency through reusable queries and views

• Build lightweight automation/tools to reduce manual reporting effort

• Ensure data accuracy and reliability through validation and testing

• Perform testing, including:

• Regression testing of dashboards/reports

• Performance testing of queries

• Unit and end-to-end (E2E) testing

Must-Have Skills

• Strong SQL (advanced queries, optimization, performance tuning)

• Experience with AWS analytics services (Athena, RDS, Hive)

• Strong background in data analysis and dashboarding

• Understanding of KPIs, metrics, and reporting logic

• Experience in data validation and testing

Good-to-Have Skills

• BI tools (QuickSight, Tableau, Power BI)

• AWS ecosystem (S3, EMR, Glue, Lambda)

• Basic Angular/frontend exposure

• Python or scripting for automation

• Experience with CI/CD and testing frameworks

Focus

• Analytics, reporting, and insights (not ETL)

• AWS-based data querying