Data Engineer - ETL, API & Cloud Pipelines

Amentum; Springfield (VA); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Amentum is seeking a Mid-Level Data Engineer to support a National Security mission, enhancing access, discovery, staging, linking, processing, and delivery of intelligence data across cloud and enterprise environments. The role features a hybrid schedule with 2–3 onsite days weekly and collaboration with skilled engineers and mission teams.

The successful candidate will design and maintain data pipelines, APIs, and data models, while ensuring data quality, scalability, and reliable performance

Qualifications

• Experience with geospatial or imagery data is required only for assignments that use those sources.
• Experience writing code in Python, R, Scala, JavaScript, C++ with documentation for reproducibility, with the ability to write readable, tested, and documented code using Git
• Strong knowledge and experience of visual programming or object-oriented modeling workflows to automate data acquisition
• Practical experience with ETL/ELT workflows, relational data, and common structured or semi-structured data formats
• Ability to apply data validation and analytical techniques to investigate data quality issues and assess the results of a solution
• Experience developing, testing, and supporting data pipelines or integrations in a team environment
• Ability to select and apply appropriate data transformation approaches, explain tradeoffs, and recognize when an issue needs 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; specific tools depend on the assigned work

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 to meet established performance, scale, and reliability needs
• Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows
• Work with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable technical solutions
• Troubleshoot pipeline and data integration issues, support production deployments, and communicate risks or complex issues to the team

Skills

Geospatial data

Python

R

Scala

JavaScript

C++

Git

ETL/ELT

Data pipelines

Data modeling

Cloud platforms

AWS

Spark

Hadoop

Hive

Elasticsearch

Tableau

Education

Bachelor's degree

Master's degree

Tools

AWS

Spark

Hadoop

Hive

Elasticsearch

Tableau

Job description

Amentum is seeking a Mid-Level Data Engineer to support a National Security mission, enhancing access, discovery, staging, linking, processing, and delivery of intelligence data across cloud and enterprise environments. The role features a hybrid schedule with 2–3 onsite days weekly and collaboration with skilled engineers and mission teams.

The successful candidate will design and maintain data pipelines, APIs, and data models, while ensuring data quality, scalability, and reliable performance