Remote Data Quality Engineer - Databricks & dbt

Cognizant; Topeka (KS); Remote; USD 70,000 - 117,000; Full time

Job summary

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The role focuses on building automated data quality tests in dbt, validating pipelines in Databricks, and integrating quality controls into CI/CD through Azure DevOps.

Remote within the USA. Ideally 5+ years in QA or data engineering with strong Python, dbt, and Databricks experience.

Qualifications

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

Responsibilities

• Design, build, and maintain automated data quality tests in dbt.
• Develop Python-based validation frameworks and scripts for data reconciliation.
• Validate data pipelines and transformations in Databricks (PySpark/SQL, Delta Lake).
• Integrate data quality gates into Azure Pipelines to block builds when tests fail.
• Define, monitor, and report on data quality metrics and set up alerts.
• Triage and root-cause data defects with data engineers and product owners.

Skills

QA/Data testing

dbt (Core/Cloud)

Python (pandas, PySpark)

Databricks

Azure DevOps

Git/GitHub

Data quality concepts

Tools

Delta Lake

Azure Pipelines

GitHub Copilot

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The role focuses on building automated data quality tests in dbt, validating pipelines in Databricks, and integrating quality controls into CI/CD through Azure DevOps.

Remote within the USA. Ideally 5+ years in QA or data engineering with strong Python, dbt, and Databricks experience.