Remote Data Quality Engineer - Databricks & dbt

Cognizant; Boise (ID); Remote; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and automate data quality tests using dbt, Python, and Databricks, integrating quality controls into CI/CD with Azure DevOps. You will collaborate with data engineers, analysts, and product owners to ensure data accuracy and governance.

The role emphasizes validating pipelines, monitoring quality metrics, and triaging defects, with a remote-friendly setup open to qualified applicants in the USA, and a

Qualifications

• 5+ years in QA, data testing, or data engineering roles with a focus on data validation.
• Hands-on experience with dbt (Core or Cloud): tests, macros, models, documentation.
• Strong Python skills (pandas, PySpark, pytest) for test automation.
• Practical experience with Databricks: notebooks, jobs, Delta tables, Unity Catalog.
• Experience building and maintaining Azure Pipelines (Azure DevOps) for CI/CD.
• Solid understanding of data quality concepts, dimensions, and frameworks.
• Experience with Git and version-controlled development workflows.
• Experience in using GitHub copilot

Responsibilities

• Design, build, and maintain automated data quality tests in dbt (schema tests, custom generic tests, singular tests, source freshness checks).
• Develop Python-based validation frameworks and scripts for data reconciliation, schema drift detection, and regression testing.

Skills

QA & data testing

Data validation

Test automation

CI/CD understanding

Data governance concepts

Tools

dbt

Databricks

Azure DevOps

Git

GitHub Copilot

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and automate data quality tests using dbt, Python, and Databricks, integrating quality controls into CI/CD with Azure DevOps. You will collaborate with data engineers, analysts, and product owners to ensure data accuracy and governance.

The role emphasizes validating pipelines, monitoring quality metrics, and triaging defects, with a remote-friendly setup open to qualified applicants in the USA, and a