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Executive Python Sdet Jobs (NOW HIRING)

SDET

$51.25 - $66/hr

SDET Remote - Milwaukee, WI Full-time/Permanent Skills : JavaScript, UI, API, QA, XPath, CSS Path ... Demonstrated experience in automating tests with using JS, Python, or other languages

SDET Engineer Location/ Remote okay? Vancouver or Seattle SSC Team/Department Pre - Costing ... Skilled in programming languages commonly used in test automation such as Python, Java, or ...

SDET

Seattle, WA ยท On-site

$57 - $73.50/hr

Job Title: SDET Location: Vancouver, Canada or Seattle, WA (Onsite/Hybrid) Type ... Contract Mandate : Python , automation, Java and Selenium, Data background , Kafka , AWS Key ...

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Executive Python Sdet information

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$13

$58

$86

How much do executive python sdet jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for executive python sdet in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Python Sdet jobs? The most popular types of Python Sdet jobs are:
Python SDET :: Local Only -Irvine, CA/ Raleigh, NC

Python SDET :: Local Only -Irvine, CA/ Raleigh, NC

Nityo Infotech

Irvine, CA โ€ข On-site

$54 - $74.25/hr

Contractor

Posted 2 days ago


Job description

Role: Python SDET โ€“ (ETL/Data Testing)
Location: Irvine, CA (Hybrid โ€“ 3 days onsite, Local Only)
Client: Infosysย 

Job Description:
We are looking for a Python SDET with strong hands-on experience in ETL testing and automation. The candidate will extract data from AWS (S3/CodeBuild), validate and transform using Python (Pandas, PySpark), and build automated test cases with Pytest. The role requires strong coding, data validation, and automation skills.

Must Have Skills:

  • Strong Python coding (logic building, data handling)
  • Pandas & PySpark โ€“ read/transform/write large datasets (Excel/CSV/Parquet)
  • ETL testing & data validation (row counts, schema checks, transformations)
  • AWS (S3, CodeBuild) for data pipelines
  • Pytest framework (automation, reporting with Allure preferred)
  • SQL/PostgreSQL for backend validation
  • API testing (Python requests/Postman)

Nice to Have:

  • UI automation (Selenium/Cypress)
  • Workflow orchestration (Airflow, DAGs)