Data Engineer Staff

Lockheed Martin Corporation; Lexington (KY); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Flexible Schedules

Competitive pay

Comprehensive benefits

Job summary

Lockheed Martin Corporation in Lexington, Kentucky, seeks a Data Engineer Staff for a hybrid role. You will design, build, and operate scalable data pipelines, emphasizing security, performance, and DoD/SOFSA compliance.

The role involves collaboration with the Data Architect and multiple teams to ensure reliable data delivery. Responsibilities include implementing ETL/ELT processes, data quality checks, and data modeling while supporting machine learning data flows and governance.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• Experience with data processing pipelines and data warehousing.
• Strong knowledge of SQL and programming languages for data manipulation.
• Understanding of data governance, security, and compliance.

Responsibilities

• Build, test, and maintain robust data pipelines (batch & streaming).
• Implement data quality checks and performance tuning.
• Collaborate with Data Architect on data models and governance.
• Deploy, monitor, and optimize ETL/ELT processes and reporting layers.
• Develop data mining and warehousing programs to enrich data ecosystem.

Skills

Data engineering

Education

Bachelor’s degree in AI, CS, IS, Data Engineering, or related field

Tools

Hadoop

Java

Python

SQL

Hive

PIG

Job description

Lockheed Martin Corporation is seeking a skilled Data Engineer Staff to join its data engineering team in Lexington, Kentucky, on a hybrid work arrangement. The role centers on delivering end-to-end data solutions across the full data processing pipeline, designing, building, and operating scalable pipelines with an emphasis on security, performance, and DoD/SOFSA compliance.

Responsibilities

• 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.
• 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.
• 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.
• 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 (CDRs) and advise Integrated Product Teams (IPTs) 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 (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.
• 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 (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).

Requirements

• 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.

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, you must be a US Citizen for consideration.

Clearance Level

Secret

Other Important Information

• 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

Experience Level

Experienced Professional

Business Unit

MISSILES AND FIRE CTRL (S0806)

Relocation Available

Possible

Career Area

Data Science

Type

Task Order/IDIQ

Shift

First