Title:
Data Engineer
At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.
Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.
Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.
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.
Position Summary:
KBR/Trinzic designs and develops data architectures that provide value to our clients. Our data practitioners are involved in a wide range of activities to ingest, transform, manage, and serve data for applications, reporting, and advanced analytics use cases. Our data experts are leveraged across of range of projects, such as advanced analytics, application development, large-scale enterprise data warehouses, data marts, and data lakes. KBR/Trinzic data practitioners collaborate with Operations Research Analysts, Software Development Professionals, Data Scientists, and Government Subject Matter Experts.
As a Data Engineer, you will have the opportunity to work with unstructured and structured data, develop databases, build data pipelines, and find innovative solutions to complex data problems. As a Data Engineer you love working with data and enjoy the challenges of designing solutions that work at-scale. You are familiar with state-of-the-art data engineering techniques and have hands-on experience with data pipelines. You are comfortable manipulating, processing, and extracting value from large unstructured and structured datasets. The right candidate will have a passion for engineering solutions with large data sets and working with stakeholders to improve business outcomes.
Key Responsibilities:
Experience designing, loading, and working with large-scale data sets.
Experience working with structured and unstructured data.
Fast-paced, team-oriented work environment.
Must be able to satisfy data requirements from diverse user base including analysts, data scientists, and application developers.
Expected to be able to adapt quickly to changing needs across several core areas, including data ingest, data design, data transformation, and data quality management techniques.
Must have the knowledge and communication skills to articulate trade-offs between design decisions, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
Qualifications:
Required:
Bachelor's degree in computer science, engineering, or equivalent
Experience manipulating data with Python is a must
Experience working with SQL Database is a must
Prior experience designing and deploying data pipelines
Experience working with AI tools to accelerate data work is a must
Strong analytical and problem-solving skills
Hands on experience working with databases or data lakes.
Must have the ability and motivation to self-teach in order to stay current with leading best practices in the database industry.
Must be able to tackle difficult problems specifically working with unstructured textual data.
Expected to have data wrangling and data pipelining skills.
Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation
Experience with Data Lakes (Databricks etc.)
Experience with Relational Databases (PostgreSQL etc.)
Experience with Unstructured Databases (Neo4J, MongoDB, Cassandra etc.)
Experience with Search Repositories (ElasticSearch etc.)
Experience developing data pipelines to support Analytics
Familiar with ETL Tools (Talend, Informatica etc.)
Familiar with BI Tools (Tableau, Power BI etc.)
Desired:
Prior experience with Databricks, AWS, Microsoft Fabric, Palantir
Experience supporting data management activities
Experience designing data structures
Experience with performance tuning for large data sets
Experience designing and implementing ETL processes
Experience working with natural language processing
Prior experience with NoSQL Databases
Professional experience supporting the US Government or the DoW
Prior experience implementing, or working within, a data governance framework
Ready to Make a Difference?
If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
KBR Benefits
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
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.
