Data Engineer Stf

Lockheed Martin is hiring a Data Engineer Stf for onsite work in Fort Worth, TX.

Responsibilities

• Deliver full-stack data solutions across the entire data processing pipeline.
• Design and implement end-to-end data lifecycle capabilities to collect, ingest, process, store, persist, access, and deliver data at scale and speed.
• Build data pipelines to clean, transform, and aggregate unorganized data into databases or analysis-ready data sources.
• Design data solutions by defining functional capabilities plus security, backup, and recovery specifications.
• Work through the lifecycle stages, including data analysis/profile, conceptual, logical, and physical modeling, and ETL architecture and design for reporting and analytics.
• Maintain data system performance by identifying and resolving production and application development issues; evaluate and integrate changes; support/install new releases by calculating optimum parameter values.
• 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.
• 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 working with Agile methods.

Technologies

• Eqube
• neo4j
• SAP HANA
• ETL
• ELT

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 build 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.

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

Pay Information

Full-Time Salary Range: USD 104,900 - 194,700 per year