Mid-level Data Engineer

Amentum; United States; Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Paid time off and holidays

Retirement benefits (401(k) matching)

Educational reimbursement

Parental leave

Employee stock purchase plan

Tax-saving options

Disability and life insurance

Pet insurance

Job summary

Amentum seeks a data engineer to design and maintain GEOINT data delivery across cloud and enterprise environments. You will build data pipelines, develop API connectors, and optimize data models for scale and reliability.

Remote/hybrid location with security clearance requirements and a strong emphasis on collaboration with mission stakeholders. The role requires a solid background in ETL/ELT workflows, diverse data formats, and experience with cloud tools like AWS, Spark, Hadoop, Hive,

Qualifications

• 3+ years of relevant experience (or 1-3 years with a related master’s degree).
• Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field.
• Experience with geospatial or imagery data is required only for assignments that use those sources; otherwise, comparable data experience is acceptable.
• Code experience in Python, R, Scala, JavaScript, or C++, including documentation for reproducibility, with ability to write readable, tested, and documented code using Git.
• Strong knowledge of visual programming or object-oriented modeling workflows to automate data acquisition.
• Experience with ETL/ELT workflows, relational data, and common structured or semi-structured data formats.
• Active TS/SCI to start; ability to gain and maintain a Poly.

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 to ingest data from internal platforms and external services.
• Create and improve data models and processing workflows to meet performance, scale, and reliability needs.
• Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows.
• Collaborate 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

Python

R

Scala

JavaScript

C++

Git

ETL/ELT

Education

Bachelor’s or master’s degree

Tools

AWS

Spark

Hadoop

Hive

Elasticsearch

Tableau

Job description

Support a National Security mission by designing and maintaining reliable GEOINT data delivery across cloud and enterprise environments.

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 to ingest data from internal platforms and external services
• Create and improve data models and processing workflows to meet performance, scale, and reliability needs
• Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows
• Collaborate 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

Requirements

• 3+ years of relevant experience (or 1-3 years with a related master’s degree)
• Education: Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field (equivalent education and experience may be considered)
• Experience with geospatial or imagery data is required only for assignments that use those sources; otherwise, comparable structured and unstructured data experience is acceptable
• Code experience in Python, R, Scala, JavaScript, or C++, including documentation for reproducibility, with ability to write readable, tested, and documented code using Git
• Strong knowledge and experience with 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 evaluate solution results
• 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 senior review is needed
• 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 assigned work)
• Active TS/SCI to start; ability to gain and maintain a Poly

Technologies

• Python, R, Scala, JavaScript, C++, Git
• ETL, ELT
• AWS, Spark, Hadoop, Hive
• Elasticsearch, Tableau

Benefits

• 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

Work Schedule and Location

• Location: Remote (hybrid)
• Schedule: Monday-Friday, 8am-5pm
• Hybrid onsite expectation: minimum 2-3 days weekly onsite

Preferred Qualifications

• AI/ML experience
• Knowledge of metadata standards
• Knowledge and experience with Search tools, organization of Search results, and implications of metadata organization, indexing, and catalog content
• Experience in GIS-related applications

Compensation

• $140,000-$170,000 per year

Additional Responsibilities

• Safety: complete training requirements, fulfill self-aid/buddy aid responsibilities, participate in emergency response tasks, and serve on safety committees and teams
• Quality: comply with the Amentum Quality Policy and related Amentum Quality System documents and customer contracts; understand Quality Management and Customer Satisfaction responsibilities
• Procedure Compliance: read, understand, and implement operational, safety, quality, and environmental requirements of relevant plans, procedures, and policies for the job

Clearance Required

• Active TS/SCI to start; ability to gain and maintain a Poly