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Python Coding Jobs in Anaheim, CA (NOW HIRING)

eTeam

Senior Python AWS Data Engineer

Irvine, CA · On-site

$128.90K - $173.40K/yr

The role involves coordinating with clients and conducting code reviews, requiring strong expertise in Python and AWS for data engineering tasks. Responsibilities : • client coordination • code ...

MongoDB

Senior Python Engineer

Ontario, CA · On-site +1

$123.60K - $166.40K/yr

Have extensive knowledge in Python tools and frameworks, scientific python and web development ... your peers' code * Within six months, you'll have implemented major, planned new features ...

Software People, Inc.

Chatbot Developer

Los Angeles, CA · On-site

Write and Optimize Python Code. Develop clean, readable, and efficient Python code to solve problems or build applications. Continuously refactor code for readability and performance. Use libraries ...

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How much do python coding jobs pay per hour?

As of May 30, 2026, the average hourly pay for python coding in Anaheim, CA is $61.37, according to ZipRecruiter salary data. Most workers in this role earn between $50.58 and $69.71 per hour, depending on experience, location, and employer.

What is a Python Coding job?

A Python Coding job involves writing, testing, and maintaining software applications using the Python programming language. Professionals in this role may work in web development, data analysis, automation, artificial intelligence, or backend development. They often collaborate with teams to design algorithms, optimize code, and ensure software functionality. Strong problem-solving skills and knowledge of Python libraries and frameworks are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Python Coding position, and why are they important?

To thrive in Python Coding roles, you need a solid understanding of Python programming, problem-solving skills, and experience with common frameworks and libraries such as Django or Pandas. Familiarity with version control systems (like Git), integrated development environments (IDEs), and sometimes professional certifications like PCEP or PCAP are often advantageous. Strong analytical thinking, adaptability, and effective communication skills help individuals excel in collaborative projects and diverse development environments. These abilities are vital to deliver reliable code, work effectively in teams, and quickly adapt to evolving project requirements.

What are typical daily responsibilities for someone working in Python Coding?

Professionals in Python Coding roles often spend their days writing, testing, and debugging code as part of software development projects, collaborating closely with team members such as developers, project managers, or data analysts. They may also review code written by peers, contribute to code documentation, and participate in team meetings to discuss project goals or troubleshoot issues. Some positions involve working on back-end systems, automating tasks, or supporting data operations depending on the organization's focus. The role offers a mix of independent problem-solving and teamwork, making adaptability and strong communication valuable assets.
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Python Coding jobs near you
Python SDET :: Local Only -Irvine, CA/ Raleigh, NC

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

Nityo Infotech

Irvine, CA • On-site

$54 - $74.25/hr

Contractor

Posted 2 days 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)