1

Regression Jobs in California (NOW HIRING)

The QA Engineer will design and maintain regression test suites, build automated tests, execute regression testing, and ensure the quality of releases through various testing strategies.

Build and improve regression and progression test automation in the Tosca environment for Oracle Fusion and Salesforce. * Create, maintain, and update Tosca scripts to reflect system and process ...

QA/DevOps Engineer

San Francisco, CA · On-site

$192K - $216K/yr

Build and improve regression and progression test automation in the Tosca environment for Oracle Fusion and Salesforce. * Create, maintain, and update Tosca scripts to reflect system and process ...

Integration Test Engineer

Cupertino, CA · On-site

$128K - $172K/yr

The role involves designing and implementing integration test frameworks, developing end-to-end regression tests, and integrating test suites into CI/CD pipelines for automated execution.

GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using ...

Regression, Classification, Clustering, (Decision Trees, SVM, Linear Regression, Logistic Regression, KNN, KMeans) Visualization: Matplot Systems: UNIX, Windows Soft: Integrity, strong verbal and ...

The role involves managing integration testing for Family & Tech Specs pages, coordinating PR feedback and test coverage reviews, and overseeing visual regression and accessibility compliance. Key ...

The role involves managing integration testing for Family & Tech Specs pages, coordinating PR feedback and test coverage reviews, and overseeing visual regression and accessibility compliance. Key ...

AI-Driven Regression: Architect and drive AI-based automation strategies to replace manual QA, ensuring comprehensive regression coverage for the entire Circuit platform. * Modernizing Legacy ...

next page

Showing results 1-20

Regression information

See California salary details

$11

$50

$69

How much do regression jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for regression in California is $50.77, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $58.61 per hour, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree often include roles such as experienced sales representatives, commercial pilots, real estate brokers, or skilled trades like electricians and plumbers. These positions typically require specialized skills, certifications, or extensive experience rather than formal college degrees.

What jobs use regression analysis?

Regression analysis is used in a variety of jobs such as data analysts, statisticians, financial analysts, marketing analysts, and data scientists. These roles involve building models to predict outcomes, identify trends, and support decision-making using statistical tools like Excel, R, or Python. Strong analytical skills and understanding of statistical concepts are essential for these positions.

What types of projects or problems does a Regression Analyst typically work on, and how do they collaborate with other teams?

A Regression Analyst typically works on projects involving trend analysis, forecasting, and identifying relationships between variables using statistical models. They often collaborate closely with data scientists, business analysts, and subject matter experts to interpret results and ensure models align with business objectives. Regular responsibilities include data cleaning, model development, and presenting findings to stakeholders. Successful collaboration and communication are key, as their insights frequently inform decision-making across departments such as marketing, finance, and operations.

What is a real life example of regression?

A regression analyst might use regression analysis to predict housing prices based on factors like size, location, and age of the property. This involves analyzing historical data to identify relationships between variables and make forecasts, often using statistical software such as R or Python. Such skills are essential for making data-driven decisions in finance, marketing, and other industries.

What is regression in the context of data analysis and statistics?

Regression is a statistical method used to examine the relationship between a dependent variable and one or more independent variables. It helps in predicting the value of the dependent variable based on the values of the independent variables. Common types include linear regression, which models a straight-line relationship, and logistic regression, which is used for predicting categorical outcomes. Regression analysis is widely used in fields such as economics, finance, biology, and machine learning to identify trends, make forecasts, and understand variable relationships.

What are the key skills and qualifications needed to thrive as a Regression Analyst, and why are they important?

To thrive as a Regression Analyst, you need a solid background in statistics, mathematics, and data analysis, typically supported by a relevant bachelor's or master's degree. Proficiency with statistical tools like R, Python, SAS, or SPSS, and experience with data visualization platforms are essential. Strong analytical thinking, attention to detail, and clear communication help in interpreting and presenting complex data findings. These skills are crucial for accurate modeling, data-driven decision-making, and effectively conveying actionable insights to stakeholders.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist or working in regression analysis. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Success depends on your skills, experience, and continuous learning rather than age.
What are popular job titles related to Regression jobs in California? For Regression jobs in California, the most frequently searched job titles are:
What job categories do people searching Regression jobs in California look for? The top searched job categories for Regression jobs in California are:
Infographic showing various Regression job openings in California as of July 2026, with employment types broken down into 78% Full Time, 7% Part Time, and 15% Contract. Highlights an 74% In-person, 10% Hybrid, and 16% Remote job distribution, with an average salary of $105,596 per year, or $50.8 per hour.

Automation Engineer

Fanatics Collectibles

Los Angeles, CA • On-site

Full-time

Posted 8 hours ago


Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.
Role Summary
We are looking for an SDET - Automation Engineer to own and scale an automation-first regression strategy for a live-service Unity mobile game. This role is accountable for making regression predominantly automated, reliable, and CI-gated. Goal is to reduce manual testing to exception-based and exploratory work. You think in frameworks and systems, treat automation as an engineering discipline with architecture and standards, and have already built AI into your workflow. You proactively surface quality gaps before they become production incidents and measure your impact in coverage and velocity.
Build & Own the Automation Framework
  • Architect, build, and maintain a scalable automation framework for a Unity-based mobile game using Pytest, AltTester, or equivalent tools.
  • Own the full test pyramid with unit, integration, and end-to-end tests with a clear strategy for coverage expansion and regression confidence.
  • Establish framework standards: modular design, maintainability, low flakiness, and CI/CD integration.
  • Audit and reduce the existing manual test suite. Migrate high-value cases to automation and retire low-ROI coverage. The goal of converting legacy manual regression into a maintainable automated system within the first year.
  • Define regression layers (PR smoke, nightly regression, release validation) with clear scope, runtime targets, and ownership.
  • Define and track automation KPIs: coverage rate, flakiness index, regression cycle time, and defect escape rate.
  • Define and manage test data and environment strategies to ensure deterministic, repeatable automation runs across CI and local development.
  • Operationalize AI-assisted workflows, building repeatable processes the broader team can adopt.
  • Own CI/CD pipeline integration including build validation, automated regression triggers, and release gate criteria.

Build AI-Native QA Workflows
  • Build and maintain AI workflows: prompt libraries, automation generation templates, and defect triage assistants.
  • Apply AI across the QA lifecycle, including test generation, coverage gap analysis, and root cause hypothesis generation.
  • Evaluate and adopt AI tooling with measurable impact on speed, coverage, and reliability.

Drive Release Quality
  • Define and execute test strategies aligned to daily, weekly, or monthly release cadences in a live-service environment.
  • Coordinate testing across concurrent feature launches and regression cycles.
  • Own defect triage, enforce documentation standards, and drive issues to verified resolution.
  • Partner with Product, Engineering, and Production upstream to influence feature design and reduce downstream risk.
  • Develop deep expertise in the game's systems, architecture, and edge cases while being able anticipate failure points before release.

Required Qualifications
  • 5+ years in SDET / QA Automation, with proven ownership of automation strategy and CI-gated regression systems.
  • Hands-on experience designing and building automation frameworks for Unity-based or mobile applications.
  • Proficiency with Pytest, AltTester, or comparable automation tooling.
  • Strong programming skills in Python (or similar), with experience building maintainable, production-quality test frameworks using modern design patterns.
  • Demonstrated, practical use of AI tools (e.g., Claude, ChatGPT, Cursor, GitHub Copilot) in QA or engineering workflows.
  • Experience with CI/CD pipelines (GitHub Actions, GameCI, Unity Cloud Build, or equivalent) and build validation workflows.
  • Strong debugging and root cause analysis skills across a mobile stack.
  • Excellent communication skills with ability to document, present, and advocate for quality.

Nice to Have
  • Experience building or evolving AI-augmented QA workflows beyond individual tool usage.
  • Familiarity with mobile testing infrastructure, including device farms, emulators, iOS/Android platform nuances.
  • Exposure to LLM APIs and prompt engineering for QA use cases.
  • Experience with JIRA, Confluence, and TestRail.
  • Background in live-service or frequently updated game environments.
  • Experience coordinating or leading external QA vendors.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/
Los Angeles Salary Range
$130,000-$160,000 USD
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/
NYC Salary Range
$145,000-$180,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.