Data Engineer Staff

The Data Engineer Staff role at Lockheed Martin in Lexington, KY, encompasses delivering end-to-end data solutions across the complete processing pipeline while ensuring security, performance, and DoD/SOFSA compliance.

Location

Lexington, Kentucky, hybrid work arrangement.

Responsibilities

• Build, test, and maintain robust data pipelines (batch and 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.
• Develop automated data management conduits that support machine learning data flows.
• Collaborate with the Data Architect to create conceptual, logical, and physical data models aligned with 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.
• Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle.
• Deploy, monitor, and optimize ETL/ELT processes (Informatica, Talend) and related reporting/analytics layers.
• Develop data mining and data warehousing programs to enrich the enterprise data ecosystem.
• 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, cataloging, caching, distribution, and retrieval of data and maintain test data records.
• 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.
• Assist early-stage risk identification and mitigation for task order activities.
• Support Critical Design Reviews and advise Integrated Product Teams on data-related risks and mitigation strategies.
• 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.
• Advise on and design the integration of new data technology solutions into the SOFSA enterprise IT environment.
• Advise higher-level leadership on critical data management issues and emerging technology trends.
• Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
• 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 on Windows and UNIX systems for parsing large files and automating tasks.
• Record, manage, and validate test data.
• Establish data security controls, develop data dictionaries, and apply data mining techniques.
• Perform data pre-processing and transformation analytics, including imputation, normalization, reduction, enrichment, and processing.

Requirements

• Bachelor’s degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field; Master’s degree 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.

Technologies

• Hadoop, Java, Python, SQL, Hive, PIG
• Informatica, Talend
• IBM Cloud Pak for Data
• AWS, Azure, GCP
• PERL, VBS
• Microsoft Power BI Report Server
• Deltek COBRA
• Microsoft SharePoint
• SAP, Teamcenter
• PowerShell
• Oracle SQL Server, Microsoft SQL Server

Benefits

• Flexible schedules
• Competitive pay
• Comprehensive benefits

Security Clearance

This position requires a government security clearance; U.S. citizenship is required for consideration.

Clearance Level

Secret

Other Important Information

• Expression of Interest: By applying to this job, you express interest and may be considered for other opportunities with matching skills.
• Ability to Work Remotely: Part-time remote telework combined with work at a Lockheed Martin facility; weekly schedule discussed during hiring.
• Work Schedules: Various alternate schedules supported, including standard and condensed options; Paid Time Off benefits apply.
• Schedule for this Position: Non-standard 40 hour work week as assigned by leader

Experience Level

Experienced Professional

Business Unit

Missiles and Fire Control (S0806)

Relocation Available

Possible

Career Area

Data Science

Type

Task Order/IDIQ

Shift

First