Remote Data Quality Engineer: Databricks & dbt

Cognizant; Cheyenne (WY); 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 the accuracy, consistency, and reliability of enterprise data platforms. The role focuses on designing and automating data quality tests using dbt, Python, and Databricks, and integrating quality controls into CI/CD pipelines via Azure DevOps.

You will partner with data engineers, analysts, and business stakeholders to identify data issues, monitor key quality metrics, and drive continuous improvements across

Qualifications

• 5+ years in QA, data testing, or data engineering with a focus on data validation.
• Hands-on 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 with GitHub Copilot.

Responsibilities

• Design, build, and maintain automated data quality tests in dbt (schema tests, 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 (completeness, accuracy, consistency, timeliness, uniqueness), and set up alerting for anomalies.
• Triage and root-cause data defects with data engineers and analysts, and track 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 validation

Python

PySpark

pytest

Git

GitHub Copilot

Azure DevOps

Databricks

Tools

dbt

Databricks

Azure Pipelines

Delta Lake

Unity Catalog

GitHub Copilot

Job description

Cognizant Technology Solutions Corporation is seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The role focuses on designing and automating data quality tests using dbt, Python, and Databricks, and integrating quality controls into CI/CD pipelines via Azure DevOps.

You will partner with data engineers, analysts, and business stakeholders to identify data issues, monitor key quality metrics, and drive continuous improvements across