Remote Data Quality Engineer — Databricks & dbt

Cognizant Technology Solutions Corporation; Madison (WI); 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. You will integrate quality gates into Azure Pipelines and collaborate with data engineers, analysts, and product owners to monitor metrics and resolve data issues.

The ideal candidate has 5+ years in QA or data engineering, strong Python and Spark skills, and experience with cloud data platforms. Remote work is available within the USA.

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.
• Validate data pipelines and transformations in Databricks ( PySpark/SQL, Delta Lake).
• Integrate data quality gates into Azure Pipelines, blocking builds when tests fail.
• Define, monitor, and report on data quality metrics and set up anomaly alerts.
• Triage and root-cause data defects with data engineers, analysts, and product owners.
• Write and maintain test plans, test cases, and data quality documentation.
• Contribute to data governance and quality standards, including data contracts and lineage awareness.

Skills

dbt tests

Python

Databricks

Azure DevOps

data quality

pandas

PySpark

pytest

GitHub Copilot

data governance

Tools

Databricks

Azure Pipelines

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. You will integrate quality gates into Azure Pipelines and collaborate with data engineers, analysts, and product owners to monitor metrics and resolve data issues.

The ideal candidate has 5+ years in QA or data engineering, strong Python and Spark skills, and experience with cloud data platforms. Remote work is available within the USA.