Description: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.g., IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, Security ) are a plus.
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 to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
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 this Position: Non- standard 40 hour work week as assigned by leader
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.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: MISSILES AND FIRE CTRL (S0806)
Relocation Available: Possible
Career Area: Data Science
Type: Task Order/IDIQ
Shift: First

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