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# Data Engineer Sr

- **Company:** Lockheed Martin
- **Location:** Moorestown, NJ, United States
- **Experience:** Expert
- **Salary:** $106,600.0 - $198,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Agile Methodology, Data Analysis, Systems Engineering, Authentication Protocols, Cloud Computing, Databases, Continuous Integration, Extract Transform Load (ETL), Data Systems, Data Virtualization, Apache Hive, Performance Tuning, SAP HANA, Scaled Agile Framework, Software Engineering, SQL Databases, Systems Architecture, Data Processing, Apache Nifi, Data Objects, Physical Data Models, Data Pipelines, Databricks
- **Published:** September 25, 2026
- **Apply:** https://www.careerjet.com/job/us13d78281209e8783e40a4d86f09f69e4/eaa

## About the Role

* 5+ years of experience in data analysis, data/system architecture
 * Experience in gathering requirements and understanding business processes
 * Problem Solving: Strong analytical mindset; capable of troubleshooting complex data issues across multiple systems.
 * Hands-on experience building ETL/ELT pipelines at scale
 * Familiar with Safe Agile framework

## Desired Skills

 * Data Modeling experience in SAP HANA
 * Experience with ETL/ELT Tools
 * Familiarity CI/CD pipeline automation
 * Proficiency in NiFi, SQL, HANA, DataBricks
 * Experience with Performance Optimization
 * Visualization: Ability to collaborate with BI teams
 * Agile Hive Management: Experience working in "Agile Hive" structures-self-organizing, cross-functional squads that own end-to-end data product lifecycle

## 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