Remote Data Quality Engineer — Databricks & dbt

Cognizant Technology Solutions Corporation; Olympia (WA); 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 testing using dbt, Python, and Databricks, with CI/CD integration in Azure DevOps. The role will partner with data engineers and analysts to monitor quality metrics, validate pipelines, and drive governance across enterprise platforms, with a US-based remote work setup.

The ideal candidate will have 5+ years in QA/data testing, strong Python and Databricks experience, and a solid

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), covering source-to-target mapping, row counts, aggregations, and business rules.
• 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

QA

Data testing

Data engineering

dbt

Python

Databricks

Azure DevOps

Git

GitHub Copilot

Tools

dbt

Azure Pipelines

GitHub Copilot

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to design and automate data quality testing using dbt, Python, and Databricks, with CI/CD integration in Azure DevOps. The role will partner with data engineers and analysts to monitor quality metrics, validate pipelines, and drive governance across enterprise platforms, with a US-based remote work setup.

The ideal candidate will have 5+ years in QA/data testing, strong Python and Databricks experience, and a solid