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# Data Quality Engineer

- **Company:** Compunnel Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Airflow, Confluence, JIRA, Automation of Tests, Big Data, BigQuery, Cloud Storage, Information Systems, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Queries, Database Testing, Dimensional Modeling, Data Flow Control, Python (Programming Language), Microsoft SharePoint, Data Streaming, Enterprise Data Management, Scripting, Google Cloud, Cloud Platform System, Git Flow, Information Technology
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6ce269e9f8b31402

## About the Role

Do you have experience in Test validation method?, Need almost data engineering skills - strong sql tooling

 * 4+ years of experience in data testing, or quality engineering on enterprise data platforms.
 * Strong SQL skills - able to write and reason about complex queries for validation, reconciliation, and root-cause analysis on large data sets.
 * Hands-on experience with Google Cloud Platform data services - BigQuery (essential), Dataflow, Cloud Composer, Dataform, and Cloud Storage.
 * Solid understanding of ETL / ELT processes, data modeling, schema design, and dimensional modeling concepts.
 * Working knowledge of automated data testing frameworks such as Great Expectations, , or Dataform assertions, and experience integrating tests into CI/CD using Git-based workflows.
 * Demonstrated experience with source-to-target reconciliation and data validation techniques across heterogeneous systems.
 * Experience documenting test cases, validation rules, and defects in Jira, Confluence, and SharePoint.
 * Strong analytical, problem-solving, and written and verbal communication skills - able to clearly convey issue severity, impact, and root cause to engineers, leads, and stakeholders.
 * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent professional experience., * Experience supporting an on-prem EDW migration to GCP, or comparable cloud data platform program.
 * Working proficiency in Python for test automation and validation scripting.
 * Familiarity with data observability concepts and tools.
 * Experience working in Agile delivery models on multi-wave platform programs.

## Description

QE Role - Emphasis on the Engineer

Responsible for validation through lots of varying processes

Migrating to GCP using the following stack:

BitQuery

Data flow / Dataform

Cloudcomposer

Will work with Data Engineers / PMs

Need Python for automation

experience leveraging GCP tools


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