Senior Data Engineer

Trinzic; Beavercreek (OH); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

401K with match

Medical insurance

Dental insurance

Vision insurance

Life insurance

AD&D

FSA

Disability insurance

Paid time off

Flexible schedule

Job summary

Trinzic, operating hybrid in Beavercreek, OH, seeks a seasoned data/software engineer to design and build modern data platforms and web-based applications using Python and Django. You will translate mission needs into scalable solutions, develop robust ETL pipelines, and optimize Lakehouse architectures for comprehensive data integration and governance.

The role requires deep Python development experience, strong SQL/data modeling skills, and familiarity with large-scale data formats and BI

Qualifications

• 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 and star schemas.
• Experience with large-scale analytical table formats such as Apache Iceberg, Delta Lake, or similar solutions.
• Experience developing 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 and stakeholder engagement skills.
• Ability to obtain a Secret Security Clearance.

Responsibilities

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

Skills

Python

Django

SQL

Git

Data modeling

Stakeholder comms

Secret clearance ability

Education

Bachelor's degree in a technical discipline

Tools

dbt

Apache Iceberg

Databricks

Spark

Airflow

Dagster

Celery

Docker

Kubernetes

Power BI

Tableau

Job description

Overview

Trinzic is being formed through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Candidates who join KBR’s Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.

The National Security Solutions team provides advanced technology solutions to customers in the intelligence and national security communities. In this role, you will support Department of Defense Science & Engineering (S&E) initiatives by designing, developing, and optimizing modern data platforms and web-based applications.

Location and Work Details

• Location: Hybrid, Beavercreek, OH
• Travel: Minimal
• Working hours: Standard

Key Responsibilities

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

Required Qualifications

• 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 and star schemas.
• Experience with large-scale analytical table formats such as Apache Iceberg, Delta Lake, or similar solutions.
• Experience developing 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 and stakeholder engagement skills.
• Ability to obtain a Secret Security Clearance.

Desired Qualifications

• Experience with dbt, Databricks, or similar technologies.
• Experience with workflow orchestration and task-processing technologies 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.

Technology Focus

• 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 a selection of competitive lifestyle benefits which could include a 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or a flexible work schedule. Career advancement is supported through professional training and development.

Equal Opportunity Employer

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 and/or beliefs, or any other characteristic protected by federal, state, or local law.