Data Engineer Staff

Lockheed Martin Corporation is seeking a Data Engineer Staff in Lexington, KY on a hybrid schedule. This role focuses on delivering end-to-end data solutions across the complete data processing pipeline, designing, building, and operating scalable pipelines with security, performance, and DoD/SOFSA compliance.

Benefits

• Flexible Schedules
• Competitive pay
• Comprehensive benefits

Responsibilities

• Build, test, and maintain robust data pipelines, both 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.
• 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 and related reporting and analytics layers (for example Informatica, Talend).
• 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, catalog ing, 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 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 and IPT engineers 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, such as IBM Cloud Pak for Data.
• Advise 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 to locate data across systems.
• Perform data pre processing, including imputation, normalization, transformation, and feature extraction.
• Conduct transformation analytics such as aggregation, enrichment, and processing.

Requirements

• Bachelor’s degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master’s preferred).
• Knowledge of data mining and data warehousing principles.
• Experience with database management systems, query languages, table relationships, and views.
• Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration.
• Understanding of DataOps processes and best practices.
• Awareness of data security roles and responsibilities and 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

Security and clearance

Clearance level: Secret. This position requires a government security clearance, and applicants must be U.S. Citizens.

Work arrangements and schedule

• Expression of Interest: By applying, you express interest in this position and may be considered for other opportunities with similar skills and requirements.
• Remote work: Part-time remote telework is available; part of the schedule is remote and part is on-site at a Lockheed Martin facility. Specific weekly schedules will be discussed during the hiring process.
• Schedules: Lockheed Martin offers various alternate work schedules to provide flexibility. Some schedules are standard 40 hours over five days, while others may be condensed.
• Position schedule: Non-standard 40 hour work week as assigned by the leader.

Experience level

Experienced Professional

Business unit

Missiles and Fire Control (S0806)

Relocation

Possible

Career area

Data Science

Type

Task Order/IDIQ

Shift

First