TAGM Data Engineer

KBR•Redstone Arsenal, AL

8d•Hybrid

About The Position

KBR’s Defense and Technology Solutions division delivers mission engineering solutions for critical U.S. Army programs, specializing in aviation and ground systems, integrated air and missile defense, and threat and target systems. As a trusted partner of the U.S. Department of Defense, KBR’s Defense and Technology Solutions division provides innovative, technology-driven solutions to enhance national security. With a global presence and a strong ethical framework, KBR ensures secure, effective, and mission-ready capabilities worldwide. Looking for a challenge where your skills will be tested and your experience impacts people and mission? At KBR, we are seeking a a versatile and highly skilled Data Engineer & Analytics Steward to manage our end-to-end data lifecycle. This hybrid role bridges the gap between data architecture, governance, and business intelligence. The ideal candidate will build robust data pipelines, ensure data integrity and compliance, manage database infrastructure, and deliver actionable insights through Power BI visualizations. If you are detail-oriented and excited to make your mark in a dynamic environment, apply now and let's create something remarkable together.

Requirements

Minimum 3-5 years of professional experience in data engineering, database administration, business intelligence, or data governance
Bachelor’s degree from an accredited institution
Ability to obtain and/or maintain a DoD secret clearance

Nice To Haves

Proficiency in Python, Scala, or similar programming languages used in data engineering. Advanced proficiency in Microsoft Power BI (including DAX and Power Query).
Strong command of SQL and hands-on experience with database systems such as MS SQL Server, PostgreSQL, Oracle, Snowflake, or BigQuery.
Experience implementing data quality rules, Master Data Management (MDM), and data cataloging tools.
Understanding of data privacy regulations.
Excellent analytical problem-solving capabilities.
Strong communication skills with the ability to translate technical concepts to non-technical stakeholders.

Responsibilities

Design, construct, test, and maintain scalable data pipelines and architectures.
Extract, Transform, and Load (ETL) data from various sources into centralized data warehouses or data lakes.
Automate manual data processes and optimize data delivery infrastructure.
Establish and enforce data governance policies, data quality standards, and compliance protocols.
Act as the primary point of contact for data-related inquiries, ensuring data accuracy, consistency, and security across the organization.
Maintain data catalogs and metadata repositories.
Develop, publish, and maintain interactive Power BI dashboards and reports.
Translate complex business requirements into intuitive data visualizations. Utilize advanced DAX and Power Query to model data effectively for end-user consumption.
Architect, query, and manage relational and non-relational databases. Monitor database performance, execute routine maintenance, and troubleshoot data infrastructure issues.
Write complex, highly optimized SQL queries to support both engineering pipelines and reporting tools.