Lockheed Martin Logo

Lockheed Martin

Data Engineer Stf

Posted 2 Hours Ago
Be an Early Applicant
In-Office
Littleton, CO, USA
105K-195K Annually
Expert/Leader
In-Office
Littleton, CO, USA
105K-195K Annually
Expert/Leader
Designs and delivers scalable, full-stack data solutions across collection, ingestion, processing, storage, access, and delivery. Builds ETL/ELT pipelines, data models, reporting and analytics systems, and secure data architectures. Supports AI and machine-learning systems, optimizes performance, resolves production issues, establishes data standards, and integrates enterprise and graph technologies. Requires extensive data engineering, architecture, analysis, clearance, and specialized platform experience.
The summary above was generated by AI
Standard Job Description
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 objects
Basic Qualifications
Degree in Computer Science, Data Science, or a related field.
10 or more years of data engineering experience, including 3 or more years supporting AI and machine-learning systems and experience with business intelligence and data warehousing concepts such as ETL, data modeling, and reporting.
5 or more 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
Desired Skills
Experience designing and building ontologies, taxonomies, or knowledge graphs.
Experience with OrientDB, graphDB, or similar open source software packages.
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

Pay Information

Full-Time Salary Range: $104900.00 - $194700.00

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: 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.

Lockheed Martin Aurora, Colorado, USA Office

Aurora, United States

Lockheed Martin Castle Rock, Colorado, USA Office

Castle Rock, United States

Lockheed Martin Denver, Colorado, USA Office

Denver, United States

Lockheed Martin Englewood, Colorado, USA Office

Englewood, United States

Lockheed Martin Lakewood, Colorado, USA Office

Lakewood, United States

Lockheed Martin Littleton, Colorado, USA Office

Littleton, United States

Lockheed Martin Thornton, Colorado, USA Office

Thornton, United States

Similar Jobs

2 Hours Ago
Hybrid
105K-195K Annually
Expert/Leader
105K-195K Annually
Expert/Leader
Aerospace • Security • Cybersecurity • Industrial
Designs and delivers enterprise-scale data platforms, pipelines, warehouses, feature stores, and AI/ML-ready datasets in classified environments. Responsibilities include data architecture, ETL/ELT development, data modeling, ontology design, security controls, performance optimization, backup and recovery, requirements gathering, and full lifecycle deployment. The role partners with AI/ML teams, data scientists, and mission stakeholders while supporting secure, mission-critical operations.
Top Skills: Apache NifiCloud ArchitecturesData PipelinesData VirtualizationData WarehousesEtl/EltFeature StoresKnowledge GraphsOntology ModelsPythonSafe AgileSap HanaSQL
2 Hours Ago
Hybrid
105K-195K Annually
Expert/Leader
105K-195K Annually
Expert/Leader
Aerospace • Security • Cybersecurity • Industrial
Designs and maintains enterprise-scale data pipelines, warehouses, ETL/ELT processes, and secure data platforms supporting AI and analytics initiatives. Applies systems-engineering principles across the data lifecycle, develops data models and security specifications, optimizes performance, and supports classified information environments. Requires extensive data engineering, architecture, analysis, and AI/ML experience, with participation in an on-call rotation.
Top Skills: Access ControlAgentic AiApache NifiData ModelingData VirtualizationData WarehousesDatabricksEltEncryptionETLPythonSafe AgileSap BodsSap HanaSmart CachingSQL
39 Minutes Ago
Remote or Hybrid
46K-84K Annually
Senior level
46K-84K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Investigates and processes commercial insurance claims, determines policy coverage, assesses damages and losses, establishes reserves, negotiates settlements, documents claim activity, and identifies potential fraud or subrogation. The role involves frequent communication with insureds, claimants, agents, and internal teams, along with coordination across appraisal, subrogation, and investigative units. It is hybrid, with office attendance twice monthly for eligible employees near designated locations.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account