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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Stf - **Company:** Lockheed Martin - **Location:** Fort Worth, TX, United States - **Experience:** Expert - **Salary:** $104,900.0 - $194,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Authentication Protocols, Cloud Computing, Databases, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Virtualization, Data Warehousing, Graph Database, Python (Programming Language), Standard Sql, SAP HANA, Scaled Agile Framework, Software Engineering, Systems Architecture, Feature Store, Data Processing, Information Technology, Apache Nifi, Data Management, Machine Learning Operations, Data Objects, Physical Data Models, Data Delivery, Data Pipelines - **Published:** October 17, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-stf-fort-worth-tx--be6777db-ac32-4ce5-8f0d-b081025499a0 ## About the Role We are seeking a senior-level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise-grade data platforms, strong expertise with SAP HANA and recent experience in AI/ML workflows (e.g., data preparation for model training, feature stores, model-ready data delivery) and familiar with ontology model and concept., * 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 * Experience in gathering requirements and understanding business processes * Strong proficiency in Python, NiFi, SQL * Hands-on experience building ETL/ELT pipelines at scale * Familiar with Safe Agile framework Desired Skills * Experience designing and building ontologies, taxonomies, or knowledge graphs * 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 ## Description Standard Job DescriptionWe are seeking a senior-level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise-grade data platforms, strong expertise with SAP HANA and recent experience in AI/ML workflows (e.g., data preparation for model training, feature stores, model-ready data delivery) and familiar with ontology model and concept.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 objectsBasic QualificationsDegree in Computer Science, Systems Engineering, or related field10+ 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 architectureExperience in gathering requirements and understanding business processesStrong proficiency in Python, NiFi, SQLHands-on experience building ETL/ELT pipelines at scaleFamiliar with Safe Agile frameworkDesired SkillsExperience designing and building ontologies, taxonomies, or knowledge graphsDemonstrate ability to establish strong team relationships and deliver an exceptional customer experienceExcellent organizational, time management, analytical and problem-solving skillsMaster''s degree in a related technical fieldPay InformationFull-Time Salary Range: $104900.00 - $194700.00At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate''s work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.