QA Automation Engineer / Enterprise ETL Tester

West 4th Strategy•Washington, DC

9d•$140,000 - $150,000•Remote

About The Position

We need an experienced QA Automation Engineer at the Securities and Exchange Commission (SEC). This role supports the SEC's Enterprise Qualitative Support Services (EQSS) contract, providing independent verification and validation across the agency's growing cloud and data analytics environment. In this role, you will perform system analysis, verification, and validation across software and data workflows supporting IV&V activities, conduct software QA and defect evaluation, process and validate structured and semi-structured data including XML, JSON, and fixed width formats, develop SQL scripts and tests for Oracle, PostgreSQL, and Iceberg environments, build automation and validation scripts using Python, and support data warehousing and data analytics testing activities within AWS using Redshift, Glue, and S3. This is a full-time opportunity. We can offer a competitive salary, and a comprehensive benefits package.

Requirements

Demonstrated experience in software QA, test engineering, test automation, and data engineering.
Strong proficiency with XML, JSON, CSV, delimited, and fixed width data formats.
Skilled in SQL and experience with Oracle, PostgreSQL, and Iceberg databases.
Practical experience with Python for scripting and automation.
Hands on experience with CI/CD automated deployment pipelines using Git.
Hands on experience working within AWS environments, Redshift, Glue and S3.
Proficiency in Linux, command line operations, and GitHub repositories.

Nice To Haves

Strong written and oral communication skills.
Ability to work independently and collaborate in multidisciplinary technical environments.
High attention to detail, strong analytical thinking, and structured problem-solving skills.

Responsibilities

Perform system analysis, verification, and validation across software and data workflows supporting IV&V activities.
Conduct software QA, functional/regression/system testing, and defect evaluation.
Process and validate structured and semi-structured data (XML, JSON, delimited, fixed width).
Develop SQL scripts and tests for Oracle, PostgreSQL, and Iceberg environments.
Support data engineering processes, ETL/ELT workflows, and data quality assessments.
Build and maintain automation and validation scripts using Python.
Operate within AWS environments and support Data warehousing and Data-lake testing activities using Redshift, Glue and S3.
Utilize Linux, CLI tools, and GitHub for version control and development workflows.
Prepare formal technical documentation and communicate findings to government stakeholders.