Data Engineer - Level 4

Lockheed MartinSunnyvale, CA
Remote

About The Position

Protecting what matters most is the mission that matters most. Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more— we can innovate, invest, inspire and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We’re creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We’re erasing boundaries and forming partnerships across industries and around the world. We’re advancing spacecraft and the workforce to fuel the next generation. And we’re reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. We currently seek a level 4 Data Engineer to join our mission. As our Data Engineer you will support the Enterprise Performance Intelligence Team in driving enterprise tools to reduce complexity within operational routines. Delivering full-stack data solutions across the entire data processing pipeline, this position 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. You will need to possess knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 5+ years of experience in data engineering, software development, or a related field
  • Experience programming in languages such as Python, MS SQL, JavaScript and HTML
  • Experience building and maintaining REACT webapps using: Javascript, CSS, and JSX
  • Experience designing and maintaining NodeJS, RESTful APIs
  • Develop and maintain Gitlab/CICD pipelines using solutions such as: Docker, Harbor, and OpenShift deployments
  • US citizenship is required

Nice To Haves

  • Experience with Full Stack data pipeline architecture and security requirements
  • Familiarity with Artificial Intelligence, Machine Learning, and UI/UX experience
  • Familiarity with agile development methodologies and version control systems
  • Familiarity with LangChain, LangGraph, Ontologies, and Graph Database
  • Familiarity with AI Orchestrators, Agentic Agents, RAG, Optimized Token Chunking Strategies

Responsibilities

  • 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
  • Work closely with department data subject matter experts and analytics teams to create and optimize data and artificial intelligence learning models that support stakeholder needs

Benefits

  • Medical many choices of plans; some LM locations have on-site medical
  • Dental
  • 401k with generous matching
  • Generous paid time off
  • Work/life balance, family-friendly environment
  • Career development, career-growth, and lots of learning opportunities for aspiring minds
  • Fun, talented, and witty teammates
  • Knowledgeable, supportive, and engaged leadership
  • Community-minded organization
  • Mentorship opportunities
  • Rewards & recognition
  • Generous Tuition Reimbursement
  • Medical
  • Dental
  • Vision
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • EAP
  • Education Assistance
  • Parental Leave
  • Paid time off
  • Holidays
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