Data Engineer (Advanced Analytics)

TRIAEM, LLC

1d

About The Position

As a Data Engineer for the Program Execution Office - Advanced Analytics (PEO-AA), you will be the architect of the program’s data foundation. You will lead the integration of complex datasets and build the ETL pipelines that power our next-generation visualization products. Working at the management level, you will ensure that data is not just "stored," but transformed into a secure, high-value asset that tells a clear story to leadership.

Requirements

• Clearance: Must possess an active TS/SCI.
• Education: Bachelor’s degree in Mathematics, Computer Science, Information Systems, or a related technical field.
• Experience: 5+ years of relevant data engineering experience.
• Programming: Advanced proficiency in Python (specifically for data science and automation).
• Data Tools: Mastery of SQL, relational databases, and the ETL (Extract, Transform, Load) process.
• Visualization: Demonstrated experience developing and modifying Tableau dashboards, including integration with JIRA/Confluence.
• Technical Stack: Familiarity with PySpark and Jupyter Notebooks.

Nice To Haves

• Experience exploring and establishing connections to undocumented APIs to unlock new data sources.
• Strong background in data normalization and building foundations for advanced analytical tools.

Responsibilities

• Data Integration Leadership: Lead engineering tasks for current and future visualization products, ensuring seamless data flow across the enterprise.
• Infrastructure Management: Oversee daily data engineering activities for the core toolset, including JIRA, Confluence, and Tableau.
• Advanced Scripting: Develop and maintain Python scripts to automate tasks and enhance the functionality of analytical dashboards.
• Standardization & Governance: Integrate disparate datasets into a unified structure, implementing improved data governance to ensure high-integrity decision metrics.
• Agile Collaboration: Work with the Agile Management Team (AMT) to optimize system operations, resource utilization, and capacity planning.
• Strategic Advisory: Provide guidance and technical direction to RTM teams, helping users navigate and leverage the data systems you build.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level