Data Engineer Stf - E4

Lockheed Martin; Fort Worth (TX); On-site; USD 105,000 - 195,000; Full time

Benefits offered by this job

Incentive programs

PTO & holidays

Job summary

Lockheed Martin in Fort Worth, TX, is seeking a Senior Data Engineer to deliver full-stack data solutions across the entire data processing pipeline. You will design ETL processes, data models, security, backup, and recovery specifications, and work through all lifecycle stages from data analysis to analytics.

The role requires 10+ years in data engineering, 3+ years AI/ML support, and proficiency in Python/SQL/NiFi, plus experience with Spark or similar frameworks and SAFe Agile.

Qualifications

• Degree in Computer Science, Systems Engineering, or related field
• 10+ years of experience in data engineering, including 3+ years supporting AI/ML systems
• 5+ years of experience in data analysis, data/system architecture
• Experience in gathering requirements and understanding business processes
• Strong proficiency in Python or NiFi or SQL
• Experience with distributed data processing frameworks (e.g., Spark or similar)
• Hands‑on experience building ETL/ELT pipelines at scale
• Understanding of data security principles, including encryption, access control
• Familiar with Safe Agile framework

Responsibilities

• Deliver full-stack data solutions across the entire data processing pipeline.
• 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/physical data model designs, architect and design ETL, reporting and analytics.
• Maintain data systems performance by identifying and resolving production and application development problems.

Job description

Standard Job DescriptionDelivers 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

Standard Job DescriptionDelivers 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

Standard Job DescriptionDelivers 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

Basic Qualifications

• 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 or NiFi or SQL
• Experience with distributed data processing frameworks (e.g., Spark or similar)
• 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

• 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

Pay Information

GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.Full-time salary range (GEOZONE 1): $131100.00 - $243500.00

• Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.

Full-time salary range (GEOZONE 2): :$118000.00 - $219100.00

• Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.

Full-time salary range (GEOZONE 3): :$104900.00 - $194700.00

• Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.

Full-time salary range (GEOZONE 4): :$94400.00 - $175200.00

• Includes metropolitan areas such as Camden, AR; Lexington, KY; Ocala, FL; Lufkin, TX; etc.

At 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:

• 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.