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# Data Engineer - 2043851

- **Company:** Apex Systems LLC
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $156,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Engineering, Code Review, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Software Debugging, Document-Oriented Databases, Python (Programming Language), SQL Databases, Smartsheet, Apex Code, Delivery Pipeline, Data Strategy, Collibra, AWS Glue, Functional Programming, Cloudwatch, Data Pipelines, Amazon Redshift
- **Published:** May 22, 2026
- **Apply:** https://seeker-sp.worksourcewa.com/jobview/GetJob.aspx?JobID=293432187

## About the Role

We are seeking a Data Engineer to support and enhance an existing data infrastructure. The position involves working on current data pipelines, troubleshooting issues, and implementing improvements for ETL solutions. The role requires a detail-oriented problem-solver who can collaborate with cross-functional teams to develop analytical solutions and support the development of a safety AI virtual assistant application., Experience: 3+ years of data engineering experience, including data modeling, warehousing, and building ETL pipelines.

Technical Skills:

 * Experience with AWS technologies, specifically AWS Glue, Redshift, S3, Lambda, CloudWatch, and Step Function.
 * Proficiency in Python, including the ability to read, write, and debug code following best practices.
 * Experience with AWS CDK (Cloud Development Kit) to manage code for ETL processes.
 * Strong experience with SQL.

Preferred Qualifications

 * Familiarity with agile software development methodologies.
 * Experience with AWS CodePipeline and AWS CodeBuild is a plus.
 * Knowledge of internal ticketing and data governance tools.

## Description

* Work on existing data pipelines, including those involving Smartsheet and Redshift, addressing and resolving errors.
 * Improve and troubleshoot data pipelines and processes.
 * Manage and fix bugs, including working on automated review tickets.
 * Implement improvements and optimizations to the current data architecture to enhance performance, reliability, and scalability.
 * Develop and maintain efficient data pipelines using AWS services to ingest, transform, and load data from various sources.
 * Collaborate with data engineers and business intelligence engineers to define and execute data strategies.
 * Participate in code reviews and provide technical guidance to ensure data environment integrity.
 * Document data pipeline designs, data models, and operational procedures.


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