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Entry Level Python Sdet Jobs in California (NOW HIRING)

Avani Technology Solutions, Inc.

SDET

San Diego, CA · On-site

$53 - $68.50/hr

SDET Level 3 San Diego, CA 92127 12+ Months ONLY W2 Top 3: 1.) C++ 2.) Automation Experience - Python / C# 3.) CI/CD understanding / Testing Background • Test planning for feature areas • Test ...

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Entry Level Python Sdet information

What is the difference between Entry Level Python Sdet vs Entry Level QA Engineer?

AspectEntry Level Python SdetEntry Level QA Engineer
Required SkillsPython, test automation, scriptingManual testing, basic scripting, test case design
CertificationsNone required but helpful (e.g., ISTQB)None typically required
Work EnvironmentAutomation testing teams, software developmentTesting teams, quality assurance departments
Industry UsageTech, software development, e-commerceVaried industries including tech, finance, healthcare

Entry Level Python Sdet roles focus on developing automated test scripts using Python, working closely with developers to ensure software quality. Entry Level QA Engineers often perform manual testing and create test cases without extensive scripting. While both roles aim to improve product quality, Python Sdet positions require programming skills, whereas QA Engineer roles may focus more on manual testing processes.

Is Entry Level Python Sdet automation testing a good career?

Entry Level Python SDET (Software Development Engineer in Test) roles focus on developing automated test scripts using Python to improve software quality. This career path offers strong job growth, high demand for automation skills, and opportunities to work with tools like Selenium and Jenkins, making it a solid choice for those interested in software testing and development. Building proficiency in programming, testing frameworks, and continuous integration enhances employability in this field.

Is Python still in demand?

Python remains highly in demand for roles like Entry Level Python SDET, as it is widely used for automation, testing, and scripting in software development. Its versatility, extensive libraries, and strong community support contribute to ongoing job opportunities in various industries.

Is it easy to get a job if you know Python?

For an Entry Level Python SDET, knowing Python is a strong foundation for securing testing and automation roles, as many companies value scripting skills for quality assurance. However, additional skills such as understanding testing frameworks, automation tools, and software development principles can improve job prospects. Entry-level positions often require demonstrating practical experience through projects or certifications.

What are the most commonly searched types of Python Sdet jobs in California?

The most popular types of Python Sdet jobs in California are:

What are popular job titles related to Entry Level Python Sdet jobs in California?

For Entry Level Python Sdet jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Sdet jobs in California look for?

The top searched job categories for Entry Level Python Sdet jobs in California are:

What cities in California are hiring for Entry Level Python Sdet jobs?

Cities in California with the most Entry Level Python Sdet job openings:

Entry Level Python Sdet jobs near you

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

Irvine, CA • On-site

Nityo Infotech
IT Services • 10K+ employees
Learn more about Nityo Infotechexternal

$54 - $74.25/hr

Contractor

Re-posted 20 hours ago

Job description

Role: Python SDET – (ETL/Data Testing)
Location: Irvine, CA (Hybrid – 3 days onsite, Local Only)
Client: Infosys 

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 – 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)