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# Data Engineer Associate - Early Career

- **Company:** Lockheed Martin
- **Location:** Littleton, CO, United States
- **Salary:** $65,500 - $121,700
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Systems Engineering, Authentication Protocols, Cloud Computing, Databases, Extract Transform Load (ETL), Data Systems, Data Virtualization, Python (Programming Language), Microsoft SQL Server, Standard Sql, Software Engineering, Data Streaming, Data Processing, Information Technology, Data Objects, Physical Data Models, Data Pipelines, Database Tools and Utilities
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467216786&tx=DT11606UHI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science or STEM Field
 * AI interest and knowledge
 * Understanding of SQL
 * Some experience with a database manager (PG Admin for DBeaver, SQL Server Manager)
 * Data flow support - Python
 * Basic system design skills - knowing inputs and flows
 * Strong analytical and problem-solving skills, with the ability to think critically and creatively.
 * Experience in supporting change management initiatives or process improvement projects.
 * Ability to work collaboratively with cross-functional teams and influence stakeholders.
 * Ability to quickly absorb new information and concepts, with an enthusiasm for ongoing learning and professional development.
 * Ability to prioritize and manage multiple tasks and projects, with a strong attention to detail and a focus on delivering high-quality results

Desired Skills

 * Experience in AWS cloud (using Lamda, knowing how to work in Glue)
 * Experience with ETL workflows (Apache Airflow, Pysparx)

## 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