Oct 17, 2026 Oct 23, 2026

Data Engineer Stf - E4

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Oct 17, 2026 Oct 23, 2026

Discussion

Lockheed Martin Data Engineer Stf - E4

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Discussion

Standard Job Description

Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects

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.

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Description

Standard Job Description

Basic Qualifications

Desired Skills

Skills

See also