Developer (Rockville)
Unisys, Rockville, MD, United States
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
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