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# Data Engineer Staff

- **Company:** Lockheed Martin
- **Location:** Lexington, KY, United States (Remote available)
- **Salary:** $131,000.0 - $227,125.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Windows, Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Microsoft Azure, Unix, Cloud Computing, CompTIA Security+, Information Systems, Databases, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Data Profiling, Data Security, Data Stores, Data Systems, Data Warehousing, Query Languages, File Systems, Distributed Data Store, Perl (Programming Language), Apache Hadoop, Apache Hive, IBM Cloud Computing, Python (Programming Language), Machine Learning, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Windows PowerShell, Raw Data, Power BI, DataOps, SAP (Applications), Microsoft SharePoint, SQL Databases, Data Streaming, Talend, Test Data, Scripting, Google Cloud, Data Classification, Caching, Cobra, Togaf, Information Technology, Data Management, Data Objects, Physical Data Models, Data Delivery, Data Pipelines, Teamcenter (Software)
- **Published:** July 15, 2026
- **Apply:** https://www.lockheedmartinjobs.com/job/lexington/data-engineer-staff/694/97802395744

## About the Role

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.

## Description

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), Ability to Work 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 this Position: Non- standard 40 hour work week as assigned by leader


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