> Markdown version of [/jobs/ext/4323828-aws-data-quality-engineer-us-gc-holders-in-seattle](https://www.wearedevelopers.com/jobs/ext/4323828-aws-data-quality-engineer-us-gc-holders-in-seattle). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AWS Data Quality Engineer - US / GC Holders in Seattle

- **Company:** Energy Jobline
- **Location:** Seattle, WA, United States
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Transformation, Python (Programming Language), DataOps, SQL Databases, Workflow Management Systems, Scripting, AWS Lambda, AWS Glue, AWS Data Analytics, Functional Programming, Amazon Redshift
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/aws-data-quality-engineer-us-gc-holders-seattle-31817068

## About the Role

Full-time role only We require only US or GC Holders only. Must have skills - AWS Glue, Redshift, Lambda, S3, Python, Apache Airflow, Amazon, * Deep proficiency in AWS data and storage services like Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda.
\n

 * Advanced proficiency in Python for building automation frameworks and orchestrating data tests.
\n

 * Experience with orchestration tools (e.g., Apache Airflow), data transformation, and data quality monitoring frameworks (e.g., Amazon Deequ).
\n

 * Strong command of SQL and UNIX/Linux scripting for querying and analyzing large-scale, distributed datasets

## Description

n
\n

 * Develop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.
\n

 * Build robust, reusable testing utilities using Python, AWS services that integrate seamlessly into DataOps workflows.
\n

 * Set up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.
\n

 * Partner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.
\n