Senior Data Engineer

About Trinzic

Trinzic will be the future independent company formed through the planned spin-off of KBR’s Mission Technology Solutions business, expected in January 2027. The team will launch as a global organization with more than 18,000 employees supporting customers around the world. People who join the Mission Technology Solutions business before the spin-off will transition to Trinzic after separation and will not need to reapply.

Team and Mission Impact

KBR’s National Security Solutions team provides engineering and advanced technology solutions to customers in the intelligence and national security communities. In this role, you will help advance mission-critical work focused on protecting national security and supporting Department of Defense Science and Engineering (S&E) initiatives.

Position Summary

KBR is seeking a Senior Data Engineer (Lakehouse and Application Development) to design, develop, and optimize modern data platforms and web-based applications that support Department of Defense Science and Engineering (S&E) initiatives.

This position blends backend web development with data engineering to build and sustain an on-premises data platform for S&E data integration, management, and analysis. The ideal candidate will act as a proactive technical leader, evaluating requirements independently, building backend and data-processing solutions, and tackling complex engineering challenges involving large datasets, distributed systems, incremental updates, and constrained resources.

Key Responsibilities

• Design, develop, and maintain web-based applications and APIs using Python and Django.
• Partner with stakeholders to translate mission needs into scalable technical solutions.
• Create ETL/ELT pipelines with strong testing, logging, and exception-handling practices using pytest.
• Implement memory-efficient Python solutions using streaming, generators, incremental processing, and resource-conscious techniques.
• Build and optimize dbt models, data transformation workflows, and Lakehouse data-processing pipelines.
• Design and maintain scalable Lakehouse architecture to support S&E data integration, governance, and analysis.
• Develop Python-based data processing solutions for tabular, text, image, video, and geospatial datasets.
• Assess technical alternatives and recommend architectures, technologies, and implementation approaches.
• Design and optimize Apache Iceberg tables using effective partitioning, data layout, and maintenance strategies to support efficient querying and large-scale processing.

Work Environment

• Location: Hybrid (Beavercreek, OH)
• Travel Requirements: Minimal
• Working Hours: Standard

Qualifications

Required

• Bachelor’s degree in a technical discipline.
• 7+ years of experience in data engineering, software engineering, data platform engineering, or related fields.
• 5+ years of direct Python development experience, including Django web application development.
• Strong SQL and data modeling experience, including normalization, star schemas, and related modeling techniques.
• Experience with large-scale analytical table formats such as Apache Iceberg, Delta Lake, or similar solutions.
• Experience delivering production-quality software and data solutions, including testing, documentation, monitoring, and maintainability.
• Experience designing and implementing robust ETL pipelines, including distributed and parallel processing, workflow orchestration, fault tolerance, error handling, and idempotent processing.
• Proficiency with Git and modern version control practices, including branching, merging, code review, and collaborative development workflows.
• Experience with Power BI or Tableau.
• Demonstrated ability to work independently and provide sound technical recommendations.
• Strong communication skills and stakeholder engagement experience.
• Ability to obtain a Secret Security Clearance.

Desired

• Experience with dbt, Databricks, or similar technologies.
• Experience with workflow orchestration and task-processing tools such as Airflow, Dagster, or Celery.
• Experience with distributed processing frameworks such as Spark, Dask, or Ray.
• Experience processing and optimizing datasets exceeding 100GB.
• Experience solving performance, scalability, and resource-constrained data engineering challenges.
• Experience developing, deploying, and operating containerized applications using Docker and Kubernetes in cloud and on-premises environments.
• Experience serving as a technical lead or solution architect.
• Active Secret clearance.

Technical Skills Mentioned

• Python
• Django / Django REST Framework
• SQL / PostgreSQL
• dbt
• Apache Iceberg
• Microsoft Fabric or Databricks
• Spark, Dask, or Ray
• Dagster, Airflow, or Celery
• Docker / Kubernetes

Benefits

KBR offers competitive lifestyle benefits that may include a 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, and a flexible work schedule. The company supports career growth through professional training and development.

Equal Opportunity

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status, or beliefs, or any other protected characteristic under federal, state, or local law.