SDET Data Quality Engineer

Overview

On Site
USD 65.00 - 75.00 per hour
Full Time

Skills

Medical Devices
Analytics
Streaming
Grafana
Auditing
Confluence
Automated Testing
Data Quality
Databricks
Python
Unit Testing
SQL
Data Validation
Microsoft Azure
DevOps
Continuous Integration
Continuous Delivery
SODA
Terraform
ARM
Docker
HL7
Health Care
HIPAA
Performance Tuning
Apache Spark
Privacy
Marketing

Job Details

Location: Denver, CO
Salary: $65.00 USD Hourly - $75.00 USD Hourly
Description:
About the job
Join a global medical-device & cell-therapy organization as a Senior SDET / Data-Quality Engineer. You'll automate data-quality pipelines on our Azure/Databricks lakehouse to ensure regulatory-grade, analytics-ready datasets for upcoming post-market analytics releases.

Responsibilities
  • Design, develop, and maintain automated data-validation frameworks for batch & streaming pipelines in Databricks.
  • Embed Great Expectations/Soda/Deequ tests into Azure DevOps CI/CD; block releases on critical failures.
  • Generate synthetic/negative data and Python/SQL assertion libraries for reusable quality checks.
  • Monitor quality metrics (null ratios, schema drift, duplicate rate) and route alerts via Azure Monitor/Grafana.
  • Produce HIPAA & FDA 21 CFR Part 11 evidence artifacts for audits; document processes in Confluence


Minimum qualifications
  • 5+ years in test automation or data-quality engineering.
  • Hands-on experience with Databricks, Delta Lake, and Azure Data Factory/ADLS.
  • Proficient in Python (PyTest/unittest) and SQL for data validation.
  • Strong background integrating tests into Azure DevOps or comparable CI/CD pipelines.


Preferred qualifications
  • Great Expectations, Soda, or Deequ in production.
  • Terraform (or ARM) for IaC; Docker containerization.
  • Knowledge of HL7, FHIR, and regulated healthcare data standards (HIPAA, FDA 21 CFR Part 11).
  • Performance tuning of Spark workloads (partitioning, Photon, Delta Live Tables).


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Contact:

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