> Markdown version of [/jobs/ext/3935366-data-engineer-stf-e4](https://www.wearedevelopers.com/jobs/ext/3935366-data-engineer-stf-e4). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Stf - E4 - **Company:** Lockheed Martin - **Location:** Lexington, KY, United States - **Salary:** $94,400.0 - $175,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Microsoft Windows, Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Authentication Protocols, Microsoft Azure, Unix, Cloud Computing, CompTIA Security+, Information Systems, Databases, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Systems, Data Virtualization, Data Warehousing, Query Languages, Distributed Data Store, Perl (Programming Language), Apache Hadoop, Apache Hive, IBM Cloud Computing, Python (Programming Language), Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Windows PowerShell, Power BI, DataOps, SAP (Applications), Microsoft SharePoint, Software Engineering, SQL Databases, Talend, Test Data, Data Processing, Scripting, Google Cloud, Cobra, Togaf, Information Technology, Data Management, Data Objects, Physical Data Models, Data Pipelines, Teamcenter (Software) - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467270845&tx=JJ7165FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Bachelor's degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred). Data-mining and data-warehousing principles. Database management systems, query languages, table relationships, and views. Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration. DataOps processes and best practices. Data-security roles and responsibilities; ability to implement access-control and encryption safeguards. Knowledge of how to collect, store, monitor, and validate test data. Ability to assess methodological limitations and recommend mitigation strategies. Desired Skills IBM Cloud Pak for Data (CP4D) - Advanced Oracle / Microsoft SQL Server - Advanced (schema design, performance tuning) Microsoft Power BI Report Server - Proficient Deltek COBRA - Working knowledge Microsoft SharePoint - Working knowledge SAP - Working knowledge Teamcenter - Working knowledge Scripting - Python, PowerShell - Basic to intermediate (data extraction, automation) Data modeling & metadata management tools - Advanced ETL/ELT design (Informatica, Talend) - Preferred Cloud & distributed data platforms (AWS, Azure, GCP) - Preferred Experience with creation of Analytical Databases - Preferred Additional scripting - PERL, VBS (Windows/UNIX) - Basic Hadoop, Java, Hive, PIG (for data exploration) - Familiarity Relevant certifications (e.g., IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, Security+) are a plus. ## Description Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects