Remote Data Quality Engineer (Databricks & dbt)

Cognizant; Austin (TX); 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 ensure accuracy and reliability of enterprise data platforms. You will design and automate data quality tests using dbt, Python, and Databricks, and integrate quality controls into CI/CD pipelines via Azure DevOps.

Collaborate with engineers, analysts, and stakeholders to monitor metrics and drive improvements. The role emphasizes data validation, test automation, and cloud-based data platforms, with remote work

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

• esign, 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

dbt testing

Python

Databricks

Azure DevOps

Data quality

Git

GitHub Copilot

CI/CD

Tools

Delta Lake

Unity Catalog

Azure Pipelines

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to ensure accuracy and reliability of enterprise data platforms. You will design and automate data quality tests using dbt, Python, and Databricks, and integrate quality controls into CI/CD pipelines via Azure DevOps.

Collaborate with engineers, analysts, and stakeholders to monitor metrics and drive improvements. The role emphasizes data validation, test automation, and cloud-based data platforms, with remote work