Sr. Data Engineer

Amentum; United States; Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Educational reimbursement

Parental leave

Employee stock purchase plan

Paid time off

Holiday pay

Disability insurance

Life insurance

Pet insurance

Job summary

Amentum is seeking a senior data engineering leader to shape cloud-based GEOINT data platforms. You will design scalable pipelines, secure ingestion, and governance while partnering with mission stakeholders and engineering teams to ensure reliable operations.

You will mentor engineers, support Agile delivery, and drive architectural decisions across production data products with experience in Python/Scala/Java and secure API integrations. The role offers hybrid onsite work in the United States.

Qualifications

• Design, write, review, and support production code in Python, Scala, Java or comparable language with Git, automated testing, and CI/CD.
• Strong ETL/ELT architecture, data modeling, data quality, and secure API integrations.
• Own complex data engineering work from requirements and design through production operation.
• Deliver scalable production data pipelines across structured, semi-structured, or unstructured data.
• Lead collaboration with analytics, data science, product, security, and mission teams; mentor engineers.
• Active TS/SCI clearance to start; ability to gain and maintain a Poly.
• Bachelor’s or Master’s with required years of experience as stated.

Responsibilities

• Lead architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics and mission operations.
• Design and oversee API connectors for secure data ingestion from internal platforms and external services.
• Define data processing, storage, and database performance to meet scale, reliability, and latency needs.
• Establish and improve data quality, validation, monitoring, and governance across production data products.
• Coordinate with stakeholders to define requirements and guide technical solutions.
• Diagnose and resolve complex data integration and production incidents.
• Maintain architecture and operational documentation; mentor engineers through reviews.
• Support Agile planning and manage technical dependencies.
• Evaluate platform/tools and recommend improvements to data architecture and engineering practices.

Skills

Production code

Python/Scala/Java

Git

CI/CD

ETL/ELT architecture

Data modeling

Data quality

Secure API integrations

Engineering judgment

Mentoring

Education

Bachelor’s degree in CS/IS/Engineering/Math

5–8 years experience

Master’s degree +3 years

Tools

Python

Scala

Java

Git

CI/CD

Job description

Support a National Security mission while shaping the architecture and reliability of cloud-based data platforms for GEOINT data access and delivery. This senior role partners closely with mission stakeholders and engineering teams to design scalable data pipelines, secure ingestion, and production-grade data quality and governance. You will also lead incident diagnosis and resolution to keep mission operations running smoothly.

What you’ll do

• Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics, reporting, and mission operations
• Design and oversee API connectors and integrations for secure data ingestion from internal platforms and external services
• Define engineering approaches for data processing, storage, and database performance to meet scale, reliability, and latency needs
• Establish and improve data quality, validation, monitoring, and governance practices across production data products
• Partner with mission stakeholders, analysts, architects, and product teams to define requirements and guide technical solutions
• Diagnose and resolve complex data integration, pipeline, and production performance incidents
• Coordinate with security and compliance teams to build required protections and controls into data systems
• Maintain architecture and operational documentation, and mentor engineers through design discussions and code reviews
• Support Agile planning and delivery, including breaking down work and managing technical dependencies
• Evaluate platform and tooling choices, explain tradeoffs, and recommend improvements to data architecture and engineering practices

What you’ll need

• Demonstrated ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD
• Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues
• Strong engineering judgment and experience selecting data architectures and patterns for complex, evolving datasets
• Experience delivering and operating scalable production data pipelines across structured, semi-structured, or unstructured data
• Experience designing API connector and ingestion patterns that integrate enterprise applications and external services
• Ability to own complex data engineering work from requirements and design through production operation, improving reliability and data quality
• Experience leading technical collaboration with analytics, data science, product, security, or mission teams, including mentoring other engineers
• Clear written and verbal communication skills, including the ability to explain technical decisions and tradeoffs
• Active TS/SCI to start, with ability to gain and maintain a Poly
• Education: Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field, plus 5–8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience

Tools you’ll work with

Python, Scala, Java, Git, CI/CD

Clearance

Active TS/SCI to start; ability to gain and maintain a Poly is required.

Compensation

USD 180,000 - 220,000 per year.

Schedule and location

• Monday–Friday, 8am–5pm
• Remote (hybrid) with minimum 2–3 days weekly onsite

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

Preferred qualifications

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

Safety, Quality, and Procedure Compliance are expected responsibilities, including maintaining a safe work environment and following operational, safety, quality, and environmental requirements tied to your role.

Posting: 11/10/2026 - Until Filled. Amentum anticipates the requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting.