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

Spac e: 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

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