2 days ago
Springfield, VA, USAMid Level
Base Salary
$140k - $170k/yr
Responsibilities
- Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations.
- Develop and maintain API connectors and integrations that ingest data from internal platforms and external services.
- Create and improve data models and processing workflows for performance, scale, and reliability.
- Implement data validation, quality checks, monitoring, and documentation for data products and workflows.
- Collaborate with mission stakeholders, analysts, architects, engineers, and mission teams to clarify requirements and deliver maintainable solutions.
- Troubleshoot pipeline and data integration issues, support production deployments, and communicate risks or complex issues.
- Apply data transformation, analytical, metadata, data catalog, and search-related techniques as appropriate.
- Follow applicable safety, quality, procedural, and environmental requirements.
Requirements
- Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field; equivalent education and experience may be considered.
- Three to five years of relevant experience with a bachelor’s degree, or one to three years with a related master’s degree.
- Active TS/SCI clearance required to start, with the ability to gain and maintain a Poly.
- Experience writing readable, tested, documented, and reproducible code in one or more of Python, R, Scala, JavaScript, or C++, using Git.
- Experience with visual programming or object-oriented modeling workflows, ETL/ELT, relational data, and structured or semi-structured data formats.
- Experience developing, testing, and supporting data pipelines or integrations in a team environment.
- Ability to apply data validation and analytical techniques, select data transformation approaches, explain tradeoffs, and identify issues requiring senior review.
- Working knowledge of data modeling, metadata, or data catalog concepts.
- Exposure to cloud data platforms or tools such as AWS, Spark, Hadoop, Hive, Elasticsearch, or Tableau.
- Preferred qualifications include AI/ML experience, metadata standards knowledge, search tools and indexing knowledge, and GIS-related application experience.
- Geospatial or imagery data experience is required only for assignments using those sources; comparable structured or unstructured data experience is acceptable otherwise.
- Successful completion of required drug screening, including possible pre-hire screening for marijuana and other federally controlled substances.
Benefits
- Monday–Friday, 8:00 a.m.–5:00 p.m. schedule with a hybrid arrangement requiring at least two to three onsite days per week.
- Health, dental, and vision insurance.
- Paid time off and holidays.
- Retirement benefits including 401(k) matching.
- Educational reimbursement.
- Parental leave.
- Employee stock purchase plan.
- Tax-saving options.
- Disability and life insurance.
- Pet insurance; benefits may vary by employment type, location, and applicable agreements.
Tech Stack
Categories
Data Engineering
About Amentum
Amentum provides engineering, operations and maintenance, logistics, and mission support services to U.S. federal agencies and allied governments, including defense and energy programs. Its business centers on large, long-term government contracts spanning defense, space, nuclear cleanup, and infrastructure, with program management and technical services at the core. Headquartered in Chantilly, Virginia, it was formed in 2020 from the spinoff of AECOM’s Management Services division.