As a Senior Data Engineer, you will be an instrumental member of the Data & AI Enablement organization supporting LM Space Systems to develop and implement data-driven solutions to deliver outstanding business results. This Senior Data Engineer position will support the 1LMX business transformation effort and is a great opportunity for someone who is interested working in a fast-paced organization where the latest technologies will be developed and applied.
The work location for this position is virtual with limited travel to support business rhythms.
Duties and responsibilities include, but are not limited to:
- Exhibit a degree of ingenuity and proactiveness when collecting, processing, documenting, and making data and analytics available to business users, data consumers, and downstream applications and interfaces
- Work through all stages of data pipeline to discover, analyze, model, digest, clean, curate, secure, aggregate, govern, and catalog structured and unstructured data
- Create optimized Extract, Transform, and Load (ETL), SQL, and data replication processes to load database tables and create views across disparate data sources for business needs
- Partner with Data Architects, DevOps teams, Application Teams, Data Governance, and downstream consumers to analyze, implement, and de-risk business requirements to develop supporting reports, visualizations, and data pipelines
- Develop and implement data models to support requirements and design
- Advanced SQL skills including complex data join analysis and execution plan debugging
- Advanced Tibco, SAP HANA, ETL (SAP Data Services) skills and building CI/CD version-control data pipelines
- Advanced skills in Visual Studio Code, GitLab, Python and working with Cloud platforms (AWS, Azure, Open Shift)
- Experience developing visualizations and reports in Tableau and SAP Business Objects
- Excellent problem-solving, stakeholder communication, and the ability to translate cross-functional business requirements into technical solutions
- Experience working on a virtual Agile team
- Experience with IBM CP4D, Databricks
- Experience with Nifi data replications
- Experience with using AI and LLMs in data solutions
- Knowledge of API development
- Proficiency in finance, engineering, HR, manufacturing, or operations data
- Experience with data storage (DB2, Oracle, SQL Server, MySQL) and on-prem platforms
- Experience using Cameo to create data models and connectivity diagrams
- Knowledgable in Data Architecture and Ontology concepts
- Experience with Aerospace & Defence business applications, processes, and data sources
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): $106600.00 - $198000.00
- 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): $95900.00 - $178100.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $85300.00 - $158300.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $76700.00 - $142500.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; 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: 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.
Skills Required
- Advanced SQL skills, including complex data join analysis and execution plan debugging
- Advanced Tibco, SAP HANA, and SAP Data Services ETL skills
- Experience building CI/CD version-control data pipelines
- Advanced skills in Visual Studio Code, GitLab, and Python
- Experience working with cloud platforms including AWS, Azure, or OpenShift
- Experience developing visualizations and reports in Tableau and SAP BusinessObjects
- Excellent problem-solving and stakeholder communication skills
- Ability to translate cross-functional business requirements into technical solutions
- Experience working on a virtual Agile team
- Experience with IBM CP4D and Databricks
- Experience with Nifi data replications
- Experience using AI and LLMs in data solutions
- Knowledge of API development
- Proficiency in finance, engineering, HR, manufacturing, or operations data
- Experience with DB2, Oracle, SQL Server, MySQL, and on-premises platforms
- Experience using Cameo to create data models and connectivity diagrams
- Knowledge of data architecture and ontology concepts
- Experience with aerospace and defense business applications, processes, and data sources
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
