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Job Description

Fort Worth, TX (onsite) with a role focused on building end-to-end data capabilities. Lockheed Martin offers a full-stack data engineering position with comprehensive benefits, flexible work options (such as 4x10 schedules), and support across health, family, and financial planning.

Pay: $104,900 to $194,700 per year (Full-Time).

Responsibilities

  • Deliver full-stack data solutions across the entire data processing pipeline.
  • Design and implement data lifecycle capabilities that cover collect, ingest, process, store, persist, access, and deliver data at scale and at speed.
  • Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources ready for analysis.
  • Define functional capabilities and specifications for security, backup, and recovery when designing data solutions.
  • Work across the data solution lifecycle, including analyzing and profiling data, creating conceptual, logical, and physical data model designs, and architecting and designing ETL and reporting/analytics.
  • Maintain data system performance by identifying and resolving production and development issues; calculate optimum parameter values; evaluate, integrate, and install new releases.
  • Define standards, best practices, and certification processes for data objects.

Requirements

  • Degree in Computer Science, Data Science, or a related field.
  • 10+ years of data engineering experience, including 3+ years supporting AI and machine-learning systems, plus experience with business intelligence and data warehousing concepts such as ETL, data modeling, and reporting.
  • 5+ years of experience in data analysis and data or system architecture.
  • Interim or Active U.S. Government Security Clearance.
  • Ability to obtain special program access.
  • Strong proficiency with Eqube, neo4j, and SAP Hana.
  • Hands-on experience building ETL or ELT pipelines at scale.
  • Experience with Agile methods.

Technologies

  • Eqube
  • neo4j
  • SAP Hana
  • ETL
  • ELT

Benefits

  • 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
  • Long-Term Disability

Desired Skills

  • Experience designing and building ontologies, taxonomies, or knowledge graphs.
  • Experience with OrientDB, graphDB, or similar open source graph software.
  • Experience with TeamCenter PLM, Solumina IbaseT, ERP4C, or similar PLM/MES/ERP systems.
  • Demonstrated 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.

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