Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
LM
Lockheed Martin Corporation
Data Engineer Staff
Career Insights for Data Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on national data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$107,155 / year median in the U.S.
+10% projected growth
Job Description
Data Engineer Staff Lockheed Martin Corporation
- 4.0 Lexington, KY Job Details Full-time $113,900
- $227,125 a year 18 hours ago Benefits Paid jury duty Paid holidays Disability insurance Health insurance Dental insurance 401(k) Flexible spending account Paid time off Flextime Parental leave Employee assistance program Vision insurance 401(k) matching Flexible schedule Life insurance Qualifications Commercial use (data warehousing systems) Apache Hive Java SQL Bachelor's degree Apache Pig Data access controls implementation Security controls design Data encryption implementation Query management Data security architecture
Hadoop Full Job Description JOB ID:
734911BR Date posted: Jul. 14, 2026Description:
Lockheed Martin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to design, build, and operate scalable pipelines that collect, ingest, transform, store, and serve data for analytics and mission critical applications while ensuring security, performance, and compliance with DoD/SOFSA standards. Key Responsibilities Pipeline Development & Maintenance- Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores.
- Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability.
- Build automated data management conduits that support machine learning data flows. Data Architecture & Modeling
- Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs.
- Define functional capabilities, security, backup, and recovery specifications for each solution.
- Design and maintain systems that collect, store, and present data across the enterprise. Lifecycle Management
- Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle.
- Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers.
- Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem. Operations & Performance
- Identify and resolve production incidents; tune system parameters for optimal throughput and latency.
- Evaluate, integrate, and validate new releases or platform upgrades.
- Manage the compilation, catalog ing, caching, distribution, and retrieval of data and maintain test data records. Standards & Governance
- Define and enforce best practice standards, certification processes, and metadata management policies for data objects.
- Participate actively in the Data Governance Working Group.
- Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices. Risk & Design Support
- Assist early stage risk identification and mitigation for task order activities.
- Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies. Cross Discipline Liaison
- Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems.
- Prepare and release engineering drawings and associated data system documentation. Technology Integration
- Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment.
- Advise higher level leadership on critical data management issues and emerging technology trends. Reporting
- Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers. Additional Typical Duties (new content integrated)
- Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits.
- Assess and address methodological limitations to ensure reliable data delivery.
- Read, interpret, write, modify, and execute simple scripts (e.g., PERL, VBS) on Windows and UNIX systems for parsing large files, automating manual tasks, and fetching/processing remote data.
- Record, manage, and validate test data.
- Establish data security controls, develop data dictionaries, and apply data mining techniques (e.g., file system searches).
- Perform data pre processing (imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing).
- Conduct transformation analytics (aggregation, enrichment, processing)
Basic Qualifications:
Bachelor's degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred). Data‑mining and data‑warehousing principles. Database management systems, query languages, table relationships, and views. Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration. DataOps processes and best practices. Data‑security roles and responsibilities; ability to implement access‑control and encryption safeguards. Knowledge of how to collect, store, monitor, and validate test data. Ability to assess methodological limitations and recommend mitigation strategies.Desired Skills:
IBM Cloud Pak for Data (CP4D)- Advanced Oracle / Microsoft SQL Server
- Advanced (schema design, performance tuning) Microsoft Power BI Report Server
- Proficient Deltek COBRA
- Working knowledge Microsoft SharePoint
- Working knowledge SAP
- Working knowledge Teamcenter
- Working knowledge Scripting
- Python, PowerShell
- Basic to intermediate (data extraction, automation) Data modeling & metadata management tools
- Advanced ETL/ELT design (Informatica, Talend)
- Preferred Cloud & distributed data platforms (AWS, Azure, GCP)
- Preferred Experience with creation of Analytical Databases
- Preferred Additional scripting
PERL, VBS
(Windows/UNIX)- Basic Hadoop, Java, Hive, PIG (for data exploration)
- Familiarity Relevant certifications (e.
Security Clearance Statement:
This position requires a government security clearance, you must be a US Citizen for consideration.Clearance Level:
Secret Other Important Information You Should Know Expression of Interest:
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability toWork Remotely:
Full-time Remote Telework:
The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.Work Schedules:
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for thisPosition:
Non- standard 40 hour work week as assigned by leader
Pay Rate:
The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $131,000- $227,125.
Benefits offered:
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, and Holidays. This position is incentive plan eligible.Pay Rate:
The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900- $200,905.
Benefits offered:
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, and Holidays. (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. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5- 30 days of the requisition posting date in order to receive optimal consideration.