About
Location:
Springfield/Alexandria, VA |
Clearance:
Active TS/SCI Required
The Role
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.
Key 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. Required Qualifications
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 . Preferred Skills
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. Skills & Requirements Qualifications TRIAEM LLC is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, sexual orientation/gender identity, religious creed, national origin, citizenship, marital status, sex, age, or genetic information. Applicants may be subject to a background investigation based on job requirements. TRIAEM Prohibits Discrimination and Harassment of Any Kind; we are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at TRIAEM are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. TRIAEM will not tolerate discrimination or harassment based on any of these characteristics.
Languages
- English
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