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Api Python Jobs in Arizona (NOW HIRING)

... API integrations, and modern AI application development. Responsibilities * Design, develop, and maintain scalable backend services using Python and FastAPI. * Build and integrate AI-powered services ...

... API integrations, and modern AI application development. Responsibilities * Design, develop, and maintain scalable backend services using Python and FastAPI. * Build and integrate AI-powered services ...

... API integrations, and modern AI application development. Responsibilities * Design, develop, and maintain scalable backend services using Python and FastAPI. * Build and integrate AI-powered services ...

... API integrations, and modern AI application development. Responsibilities * Design, develop, and maintain scalable backend services using Python and FastAPI. * Build and integrate AI-powered services ...

... Flask, Python, SQL, Docker & Kubernetes, Fast API Responsibilities * Design, build and rollout scalable AI and Agentic systems that would result in operational efficiencies, superior customer ...

... PowerShell and Python scripting, SQL server, API integration Qualifications : Required : • 8+ Years of experience • Great written communication and documentation abilities • Strong ...

Technical Architect

Tempe, AZ · On-site

$64.50 - $77.75/hr

Required Qualifications 12+ years of backend engineering and architecture experience with strong expertise in Python-based backend ecosystems. Deep expertise in FastAPI, REST API architecture ...

New

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

... Python for data engineering, automation, and API integration. Experience building knowledgebases and conversational agents (Conversight or equivalent). Strong SQL skills and familiarity with large ...

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Api Python information

What are some common challenges faced by API Python developers when integrating third-party services, and how can they be addressed?

API Python developers often encounter challenges such as inconsistent documentation, rate limiting, and unexpected changes in third-party APIs. To address these, it's important to thoroughly read and test API documentation, implement robust error handling and retry logic, and use environment variables or configuration files to manage sensitive credentials. Developers should also stay updated on API version changes and participate in relevant developer communities to share solutions and best practices.

What is an API Python developer?

An API Python developer is a software professional who specializes in creating, implementing, and maintaining Application Programming Interfaces (APIs) using the Python programming language. Their main responsibilities include designing RESTful or GraphQL APIs, integrating third-party services, ensuring secure and efficient data exchange, and writing clean, scalable code. API Python developers often work closely with front-end developers and other back-end engineers to support seamless communication between different parts of a software system.

Which Python job is in demand?

Python development roles, including Python developers, data scientists, and backend engineers, are highly in demand across industries such as technology, finance, and healthcare. Skills in frameworks like Django or Flask, along with knowledge of APIs and data analysis, increase employability. Certifications and experience with cloud platforms can also enhance job prospects.

What is the difference between Api Python vs Data Analyst?

AspectApi PythonData Analyst
Required SkillsPython programming, API integration, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentSoftware development, backend services, data pipelinesBusiness insights, reporting, data interpretation
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, consulting firms

Api Python focuses on developing and maintaining APIs using Python, emphasizing coding and technical skills. Data Analysts interpret data to provide business insights, often using tools like Excel and SQL. While Api Python roles are more technical and development-oriented, Data Analysts focus on analyzing data to support decision-making. Both roles may overlap in data handling but serve different primary functions within organizations.

Will AI replace Python devs?

AI is unlikely to fully replace Python developers, as their roles involve designing, maintaining, and optimizing AI systems, which require human expertise. Python developers also work on diverse tasks such as software development, data analysis, and automation that benefit from creative problem-solving and domain knowledge. AI tools can assist developers but are not a complete substitute for their skills and understanding of complex systems.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control and databases enhances employability.

How much do API developers make?

API Python developers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Skilled developers with expertise in RESTful APIs, Flask, or Django and relevant certifications tend to command higher salaries, especially in tech hubs or companies with complex integration needs.

What are the key skills and qualifications needed to thrive as an API Python Developer, and why are they important?

To thrive as an API Python Developer, you need a solid understanding of Python programming, RESTful API design, and experience with frameworks like Flask or Django, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, API testing tools such as Postman, and containerization platforms like Docker is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top developers apart. These skills ensure robust, secure, and scalable API solutions that meet business requirements and facilitate seamless collaboration within development teams.
What cities in Arizona are hiring for Api Python jobs? Cities in Arizona with the most Api Python job openings:
Infographic showing various Api Python job openings in Arizona as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.
REMOTE - AI Engineering Manager (Databricks)

REMOTE - AI Engineering Manager (Databricks)

State Farm

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago


State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,514 frontline employees who took The Breakroom Quiz

209th of 278 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

REMOTE:Qualified candidates living outside a 50-mile radius of a hub location listed below can plan to work remote. 

HYBRID: Qualified candidates living within a 50-mile radius of a hub location listed below should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ 

SPONSORSHIP:  Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.


Responsibilities

Lead a team of 3-5 embedded agentic engineers who work inside Product Oriented Delivery pods, helping engineers, analysts, and product owners ship twice as fast with twice the quality through agentic workflows. You'll build the agentic harness tuned to our existing infrastructure, write code alongside your team, run the developer community, and ensure a steady stream of innovation projects make it to production on Databricks

What You'll Own

  • Team Leadership (30%) – Hire, manage, and grow 3-5 embedded engineers. 1:1s, career development, removing blockers. You code 30-40% of the time.
  • Agentic Harness (25%) – Build the agentic harness tuned to our infrastructure – hooks, connectors, and integrations with Claude for code quality checks, artifact generation, and next-best-action guidance through the SDLC.
  • Databricks Solutions (20%) – Production templates for Medallion pipelines, Unity Catalog governance, MLflow, PySpark. Not PoCs – real systems with monitoring and runbooks.
  • Developer Community (15%) – Demos, office hours, pattern libraries. Measure adoption and impact.
  • Production Readiness (10%) – Quality gates, automated checks, incident coaching, ET handoff.

What Success Looks Like

  • Team hired, embedded in pods, and shipping agentic infrastructure
  • Developer adoption >70% – teams actively using agentic tools in daily work
  • Projects consistently shipping to production with proper monitoring and handoff
  • Cycle time cut in half. Incidents down 50%. Measured, not estimated.
  • Developer community thriving with demos, office hours, and a living pattern library
  • You've developed a successor on your team

Stack

Databricks (Delta Lake, Unity Catalog, MLflow, PySpark) / Anthropic Claude API / Python, SQL / AWS (Lambda, ECS, RDS) / DataDog, Prometheus, Grafana / Git / CLI tools, VS Code extensions, CI/CD hooks

Culture

  • Kindness is the standard. In the code, the docs, the commit messages.
  • Objective over agreement. Debate hard, commit fully.
  • Agentic-first. If an LLM can augment it, we do it.
  • Production or nothing. We ship.
  • Blameless accountability. RCAs that teach, not punish.
  • Player-coach model. Leaders build alongside the team.
  • 2x2 is the mission. Measured, not aspirational.

Qualifications

Must-Haves

  • Leadership: 2+ years managing engineering teams. Experience with embedded/distributed teams. Coaching mindset.
  • Production (Non-Negotiable): Shipped end-to-end systems to production with real users, SLAs, and on-call. Not PoCs. 1+ year operating production ML/AI systems.
  • Databricks: 2+ years production Databricks (Delta Lake, Unity Catalog, MLflow, PySpark). Medallion architecture. Cost optimization.
  • Agentic/LLMs: Anthropic Claude production experience (structured outputs, tool use, multi-turn). Built developer tools with LLMs. Evaluation frameworks. Prompt engineering at scale.
  • Engineering: Production-grade Python. SQL expertise. CI/CD. API design. Code quality obsession. Threat modeling. Chaos engineering.
  • Communication: Technical teaching. Influence without authority. Clear written communication. Stakeholder management.

Nice-to-Haves

  • Developer platforms or CLI tools. DORA/SPACE metrics. Open-source contributions. Event streaming. Privacy regulations. Insurance/fintech/regulated industries. Lightweight UI skills (Streamlit, Gradio, FastAPI + HTMX).

Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $151,000 - $247,000. Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience and living in high cost of labor location like CA/NY/NJ/Etc. 
  • Potential yearly incentive pay up to 18% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Must-Haves

  • Leadership: 2+ years managing engineering teams. Experience with embedded/distributed teams. Coaching mindset.
  • Production (Non-Negotiable): Shipped end-to-end systems to production with real users, SLAs, and on-call. Not PoCs. 1+ year operating production ML/AI systems.
  • Databricks: 2+ years production Databricks (Delta Lake, Unity Catalog, MLflow, PySpark). Medallion architecture. Cost optimization.
  • Agentic/LLMs: Anthropic Claude production experience (structured outputs, tool use, multi-turn). Built developer tools with LLMs. Evaluation frameworks. Prompt engineering at scale.
  • Engineering: Production-grade Python. SQL expertise. CI/CD. API design. Code quality obsession. Threat modeling. Chaos engineering.
  • Communication: Technical teaching. Influence without authority. Clear written communication. Stakeholder management.

Nice-to-Haves

  • Developer platforms or CLI tools. DORA/SPACE metrics. Open-source contributions. Event streaming. Privacy regulations. Insurance/fintech/regulated industries. Lightweight UI skills (Streamlit, Gradio, FastAPI + HTMX).
Education:UNAVAILABLEEmployment Type: FULL_TIME

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