All Jobs Vacancy

EDA DataOps Quality Engineer (Tester)

Posted 1 week ago by Randstad Digital

job summary

Join our enterprise DataOps Quality Engineering team supporting mission-critical data platforms within the Healthcare and Life Sciences sector. In this role, you will design, build, and execute robust automated quality engineering solutions to validate modern data pipelines, APIs, and Databricks-based data processing architectures.

location: Telecommute

job type: Contract

salary: $50 - 60 per hour

work hours: 8am to 5pm

education: Bachelors

responsibilities

  • Design and execute automated quality engineering tests for data pipelines, APIs, and Databricks-based data processing solutions.
  • Develop reusable automation frameworks using Python and Pytest to perform SQL-based source-to-target reconciliations and data-quality validations.
  • Validate ETL/ELT pipelines, data transformation logic, Delta tables, and large-scale datasets across environments.
  • Integrate automated test suites directly into Azure DevOps CI/CD pipelines to support continuous regression, integration, and API testing.
  • Partner with data engineers, developers, and business stakeholders to identify defects, verify fixes, and ensure production-grade data integrity.

qualifications

REQUIRED QUALIFICATIONS

Minimum Bachelor's of Engineering Degree.

5+ years of hands-on experience in Test Automation and Data/ETL Quality Engineering.

5+ years of experience with Python, Pytest, and writing advanced SQL queries for data reconciliation and quality checks.

5+ years of experience testing Databricks data processing workloads and APIs.

Proven ability to validate large-volume datasets, complex transformation rules, and data warehouse platforms (P3 Advanced level).

PREFERRED QUALIFICATIONS

Domain experience within the Healthcare Payer industry.

Familiarity with PySpark and Delta Lake architecture.

Experience with Playwright automation.

Experience with Azure Cloud services and building automated CI/CD test gates in Azure DevOps.

Background in data pipeline performance and load testing.

skills

API testing

APIs

automated test

automated tests

Test Automation

Azure DevOps CI

Cloud

CI/CD

Delta Lake

complex data pipelines

data pipelines

ELT pipelines

data processing

data solutions

Data Warehouse

DataOps

Databricks

CD pipelines

enterprise data platforms

ETL

Azure DevOps

Azure

Performance Testing

Playwright

PySpark

Pytest

Python

SQL

automation

Life Sciences

Data Quality

identify defects

drive test

Healthcare

Public Service

Quality Engineering

quality assurance

Testing

quality validation

Rate:
Not specified
Location:
Remote or Dallas, Texas
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior

Take-Home Pay

Not Available

Visit calculators for additional details

Share job