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Python Coding Jobs in Fullerton, CA (NOW HIRING)

Eliassen Group

AI/ML Engineer

Irvine, CA · On-site

$70 - $80/hr

Own hands-on coding deliverables and contribute to code reviews and MLOps practices. * Prepare for and complete Python technical evaluations during the interview process. Experience Requirements:

Brighton

Data Engineer

City Of Industry, CA · On-site

$90K - $120K/yr

If a pipeline fails because of Python code, you'll investigate the code. If a container won't start, you'll investigate Docker. If an orchestration worker isn't behaving correctly, you'll inspect the ...

Moog, Inc.

Systems Engineer

Torrance, CA · On-site

$100K - $135K/yr

Proficiency with Python coding. How we care for you: * Financial Rewards: great compensation package, bonus opportunities , matching 401k, and the ability to participate in Employee Stock Purchase ...

Moog

Systems Engineer

Torrance, CA · Hybrid

$100K - $135K/yr

Proficiency with Python coding. How we care for you: * Financial Rewards: great compensation package, bonus opportunities , matching 401k, and the ability to participate in Employee Stock Purchase ...

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All JobsPython Coding JobsPython Coding Jobs in Fullerton, CA

Python Coding information

See Fullerton, CA salary details

$13

$61

$90

How much do python coding jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python coding in Fullerton, CA is $61.16, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 per hour, depending on experience, location, and employer.

What is python coding?

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 does someone working in python coding do?

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.

What are the key skills and qualifications needed to thrive in python coding?

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.

Are Python coders in demand?

Python coders are in high demand across many industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek professionals with strong programming skills, knowledge of frameworks like Django or Flask, and experience with data tools such as Pandas or NumPy. The demand is expected to grow as Python remains a key language in technology and data-driven fields.

Is Python coding a good career?

Python coding is a valuable skill in the tech industry, with demand across fields such as data analysis, web development, and automation. Python developers often have opportunities for high-paying roles, especially with experience and knowledge of frameworks like Django or data libraries like Pandas. Continuous learning and proficiency with tools like Git can enhance career prospects in Python programming.

What jobs can I get with Python coding?

Python coding skills can qualify you for roles such as software developer, data analyst, data scientist, machine learning engineer, automation engineer, and backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with data analysis libraries such as Pandas and NumPy.

What job categories do people searching Python Coding jobs in Fullerton, CA look for?

The top searched job categories for Python Coding jobs in Fullerton, CA are:

What cities near Fullerton, CA are hiring for Python Coding jobs?

Cities near Fullerton, CA with the most Python Coding job openings:

Python Coding jobs near you
Infographic showing various Python Coding job openings in Fullerton, CA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $127,211 per year, or $61.2 per hour.

Mid-Senior Data Engineer - SQL, Python, dbt & Snowflake

City Of Industry, CA • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

$115K - $138K/yr

Other

Posted 20 days ago

Key responsibilities

  • Design, build, and maintain production-grade data pipelines and transformations.

  • Own day-to-day production data operations, including orchestration, scheduled refreshes, monitoring, and alerting.

  • Troubleshoot pipeline failures, data quality issues, and other production incidents.

Job description

Mid-Senior Data Engineer - SQL, Python, dbt & Snowflake
City of Industry, CA | Full-Time
Our client is a growing organization seeking a Data Engineer to join its expanding technology team. This is a hands-on role focused on building and maintaining production data solutions, supporting critical data operations, and improving the reliability and scalability of the overall data environment.
The ideal candidate is a strong hands-on engineer who enjoys working with production systems, troubleshooting unfamiliar problems, and taking ownership of data pipelines and operational processes.
What You'll Be Doing
  • Design, build, and maintain production-grade data pipelines and transformations
  • Develop and maintain reliable data models supporting reporting, analytics, and business applications
  • Work extensively with SQL, Python, dbt, and cloud-based data technologies
  • Own day-to-day production data operations, including orchestration, scheduled refreshes, monitoring, and alerting
  • Troubleshoot pipeline failures, data quality issues, and other production incidents
  • Support database administration activities, including user access, roles, permissions, performance, and maintenance
  • Manage data deployments and contribute to CI/CD and infrastructure automation
  • Investigate unfamiliar or poorly documented data sources and determine how systems, schemas, and integrations function
  • Build data solutions supporting reporting, billing, customer, and operational use cases
  • Integrate and work with data from internal, third-party, and legacy systems
  • Partner with engineering, product, operations, and business teams to translate requirements into technical solutions
  • Participate in code reviews and contribute to engineering standards and best practices
  • Improve documentation, knowledge sharing, and overall platform reliability

Required Qualifications
  • Strong SQL skills, including complex joins, window functions, aggregations, NULL handling, and understanding of data grain
  • Hands-on Python development experience, including maintaining code running in production
  • Professional experience building or supporting production data pipelines
  • Experience with a modern data transformation framework; dbt strongly preferred
  • Strong understanding of dimensional data modeling, including:
    • Fact and dimension tables
    • Data grain
    • Conformed dimensions
    • Slowly changing dimensions
  • Experience supporting production environments, including deployments, monitoring, environment management, troubleshooting, and incident response
  • Strong experience with Git, pull requests, code reviews, and CI/CD
  • Ability to independently investigate and debug unfamiliar technical problems
  • Strong communication skills and ability to work across technical and business teams
  • Comfortable contributing within an established architecture and engineering environment

Preferred Qualifications
  • Experience with Snowflake
  • Experience with Microsoft Azure
  • Familiarity with Azure Data Factory (ADF), ADLS Gen2, and/or Key Vault
  • Terraform or other Infrastructure-as-Code experience
  • Experience working with multi-tenant or customer-facing data
  • Experience integrating with or reverse-engineering legacy and third-party systems
  • Familiarity with BI, analytics, and downstream data consumption patterns
  • Experience working with supply chain, transportation, warehousing, logistics, or other operational data

AI & Modern Engineering
The engineering team incorporates AI-assisted tools into its development and problem-solving workflows. Candidates should be comfortable using AI tools thoughtfully to:
  • Investigate unfamiliar codebases, schemas, documentation, and systems
  • Research and evaluate potential technical approaches
  • Automate repetitive engineering tasks and workflows
  • Improve development and troubleshooting efficiency
  • Build custom scripts, tools, agents, or other AI-assisted workflows

Candidates should also understand the limitations of AI-generated output and be able to explain how they verify results, identify incorrect assumptions, and validate technical solutions before putting them into production.

Apply