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# Data Engineer (5688)

- **Company:** SMX, LLC
- **Location:** Salem, OR, United States
- **Experience:** Experienced
- **Salary:** $103,000.0 - $171,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Encodings, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Migration, Data Systems, DevOps, Raw Data, Software Engineering, SQL Databases, Backend, Event Driven Architecture, Information Technology, AWS Glue, Build Tools, Data Management, Machine Learning Operations, Stream Processing, Data Pipelines, Vectorization, Mulesoft
- **Published:** October 1, 2026
- **Apply:** https://dejobs.org/x/x/8BC59BBDD7CC4B1DB768FCB809FAE048/job/

## About the Role

* Bachelor's degree in Computer Science,
 * Information Technology, Data Engineering, or a related field.
 * 3 years of professional experience in a data engineering or backend software engineering role.
 * Active Top Secret security clearance.
 * Strong proficiency in SQL and data query creation.
 * Hands-on experience with AWS services, specifically AWS Glue, Glue Catalog, and Step
 * Functions for data integration and workflow automation.
 * Experience with data modeling, data migration, and ETL functions.
 * Excellent communication skills, both written and verbal, with the ability to interface with customers

Desired Skills & Experience

 * Experience supporting AI/ML pipelines, vectorization, or embedding generation
 * Experience with data governance, access controls, or sensitive data protection
 * Exposure to DevOps/CI-CD patterns for data workflows
 * MuleSoft implementation experience
 * Experience with real-time data streaming and event-driven architectures

## Description

SMX is hiring a Data Engineer responsible for architecting, building, testing, and maintaining the data infrastructure for our mission partners. You will be responsible for a mix of data modeling and backend data mesh work, including creating data queries and performing SQL work. The ideal candidate will analyze and organize raw data, build robust data systems, and explore ways to enhance data quality and reliability. This role involves collaborating with analytics and business teams to transform raw information from different sources into high-quality, accessible data pipelines., * Design, construct, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines.

 * Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using cloud technologies, with a strong focus on AWS Glue, Glue Catalog, and Step Functions.
 * Support data migration efforts and ETL functions.
 * Optimize database schemas and build systems to collect, validate, and prepare data.
 * Combine raw information from different sources to meet business and mission needs.
 * Work with analytics and business teams to understand data requirements and deliver production-ready datasets