Remote Data Quality Engineer: Databricks & dbt

Cognizant; Carson City (NV); Remote; USD 70,000 - 117,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

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. The role partners with data engineers, analysts, and stakeholders to ensure data accuracy, lineage, and governance while integrating tests into CI/CD with Azure Pipelines.

The position is remote for qualifying US applicants, offering a comprehensive benefits package and a discretionary incentive program.

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 to block builds/releases when tests fail.
• Define, monitor, and report on data quality metrics and set up alerting for anomalies.
• Triage and root-cause data defects with data engineers and product owners, tracking 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 validation

Test automation

dbt

Python (pandas)

PySpark

Databricks

Azure DevOps

Git/GitHub

GitHub Copilot

Tools

dbt Core/Cloud

Databricks (PySpark/SQL)

Delta Lake

Azure Pipelines

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 partners with data engineers, analysts, and stakeholders to ensure data accuracy, lineage, and governance while integrating tests into CI/CD with Azure Pipelines.

The position is remote for qualifying US applicants, offering a comprehensive benefits package and a discretionary incentive program.