Remote Data Quality Engineer (Databricks & dbt)

Cognizant Technology Solutions Corporation; Annapolis (MD); Remote; USD 70,000 - 117,000; Full time

Job summary

Cognizant Technology Solutions Corporation in the United States seeks a Data Quality Engineer to design and automate data quality testing on Databricks using dbt, Python, and Delta Lake. You will integrate tests into Azure DevOps CI/CD, validate pipelines, and monitor quality metrics across the data ecosystem.

You will collaborate with data engineers and stakeholders to resolve data issues, drive governance, and ensure accuracy, completeness, and timeliness of data products in a remote US-based

Qualifications

• 5+ years in QA, data testing, or data engineering 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, so builds and releases are blocked when tests fail.
• Define, monitor, and report on data quality metrics (completeness, accuracy, consistency, timeliness, uniqueness), and set up alerting for anomalies.
• Triage and root-cause data defects with data engineers, analysts, and product owners, and track them through to resolution.
• 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

Data quality testing

Python scripting

Databricks PySpark

CI/CD pipelines

SQL validation

Git version control

GitHub Copilot

Education

Bachelor's degree or higher in CS/Engineering

Tools

dbt

Azure DevOps

Delta Lake

Unity Catalog

PySpark

Job description

Cognizant Technology Solutions Corporation in the United States seeks a Data Quality Engineer to design and automate data quality testing on Databricks using dbt, Python, and Delta Lake. You will integrate tests into Azure DevOps CI/CD, validate pipelines, and monitor quality metrics across the data ecosystem.

You will collaborate with data engineers and stakeholders to resolve data issues, drive governance, and ensure accuracy, completeness, and timeliness of data products in a remote US-based