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# Data Engineer Stf

- **Company:** Lockheed Martin
- **Location:** Fort Worth, TX, United States
- **Experience:** Experienced
- **Salary:** $104,900.0 - $194,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Security, Data Virtualization, Data Warehousing, Information Lifecycle Management, Python (Programming Language), Standard Sql, SAP HANA, Scaled Agile Framework, Systems Architecture, Unstructured Data, Agentic-AI, Information Technology, Apache Nifi, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 23, 2026
- **Apply:** https://dejobs.org/x/x/862E6D5498904383954409D9C6C8950E/job/

## About the Role

* Degree in Computer Science, Systems Engineering, or related field
 * 10+ years of experience in data engineering, including 3+ years supporting AI/ML systems - traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
 * 5+ years of experience in data analysis, data/system architecture
 * Strong proficiency in Python or NiFi or SQL
 * Hands-on experience building ETL/ELT pipelines at scale
 * Understanding of data security principles, including encryption, access control
 * Familiar with Safe Agile framework

Desired Skills

 * Demonstrate ability to establish strong team relationships and deliver an exceptional customer experience
 * Excellent organizational, time management, analytical and problem-solving skills
 * Master's degree in a related technical field
 * Experience in Databricks, SAP HANA/BODS
 * Familiar and able to use Agentic AI as a solution tool

## Description

* Design, build, and maintain data pipelines and warehouses that collect, ingest, process, store, and deliver data at scale.
 * Apply systems-engineering principles across the data lifecycle: collect, ingest, process, store, persist, access, and deliver data quickly and securely.
 * Work with local, distributed, and cloud technologies, implementing data virtualization, smart caching, and robust security/authentication for classified information.
 * Develop ETL processes that clean, transform, and aggregate unstructured data into analysis-ready sources.
 * Own the end-to-end data solution lifecycle: profile data, create conceptual, logical, and models, define functional capabilities, security specifications, backup/recovery, and performance optimizations.
 * Participate in an on-call rotation to ensure timely business support.

We offer the chance to impact mission-critical AI initiatives while working with cutting-edge technologies in a collaborative, secure environment.