Remote Data Quality Engineer — Databricks & dbt

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

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Holidays

Paid Time Off

401(k) Plan

Disability Insurance

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. The role emphasizes validating data pipelines, monitoring quality metrics, and integrating quality controls into CI/CD through Azure DevOps.

You will collaborate with data engineers and analysts, define data quality metrics, and drive governance and lineage awareness in a flexible, remote-capable USA position.

Qualifications

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

Responsibilities

• Design, build, and maintain automated data quality tests in dbt.
• Develop Python-based validation frameworks for data reconciliation and regression testing.
• Validate data pipelines in Databricks (PySpark/SQL, Delta Lake) end-to-end.
• Integrate data quality gates into Azure Pipelines and CI/CD.
• Define, monitor, and report data quality metrics; set up anomaly alerts.
• Triage data defects with cross-functional teams and drive resolution.
• Write and maintain test plans, cases, and data quality docs.
• Contribute to governance, data contracts, and lineage awareness.

Skills

Data validation

Test automation

dbt

Python

Databricks

ETL pipelines

CI/CD

Azure DevOps

Git

GitHub Copilot

Pandas

PySpark

pytest

Delta Lake

Unity Catalog

Tools

Azure DevOps

Databricks

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. The role emphasizes validating data pipelines, monitoring quality metrics, and integrating quality controls into CI/CD through Azure DevOps.

You will collaborate with data engineers and analysts, define data quality metrics, and drive governance and lineage awareness in a flexible, remote-capable USA position.