1

Api Python Jobs in Minnesota (NOW HIRING)

... API Development expertise in message bus technologies such as RabbitMQ, ActiveMQ; Apache Kafka preferred Solid working knowledge of NoSQL - Cassandra is a must Proficiency with Python, Django, Flask ...

Proficiency in automation and scripting for API deployment and configuration (Python, Shell, Ansible). Familiarity with CI/CD integration and DevOps practices for API platforms. Knowledge of ...

Proficiency in automation and scripting for API deployment and configuration (Python, Shell, Ansible). Familiarity with CI/CD integration and DevOps practices for API platforms. Knowledge of ...

... API design, and ESB/middleware integration expertise. * Previous experience with Azure DevOps required * Python experience a plus. Compensation (DOE) : $115k - $130k annual base salary

Required Skills: • Expert-level proficiency in Python, Django, and API development. • Strong experience with GitLab, including CI/CD pipeline configuration and management. • Hands-on experience ...

They will work with Selenium BDD and Rest API, SQL query/scripting (for data mining), Java, React, and Python (code they are testing) is a plus. This team will cover batch testing, XML files, UI ...

Build metrics collectors using Python to ingest REST API data into monitoring platforms. Integrate metrics into Prometheus, InfluxDB, or similar time series databases. Configure Telegraf pipelines ...

Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch). * Experience with containers and orchestration (Docker/Kubernetes) and API development. * Understanding of ML system ...

next page

Showing results 1-20

Api Python information

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 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.

Can Python make API calls?

Python can make API calls using libraries such as requests or http.client, which allow developers to send HTTP requests and handle responses. As an API developer or Python programmer, understanding how to work with these libraries is essential for integrating external services or data sources into applications.

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.

What cities in Minnesota are hiring for Api Python jobs? Cities in Minnesota with the most Api Python job openings:
API Customer Experience Professional

API Customer Experience Professional

eTeam

Minneapolis, MN • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Product Owner

Location: Open to Minneapolis, MN 55402 and Atlanta, GA 30328, It could be either fully remote or hybrid. 3 days a week in office if Hybrid. Duration: 6 months on contract with possible extension FTE Conversion not expected Working hours: 9-5 EST

API Customer Experience Professionals are customer obsessed in defining and delivering the strategy and vision required for digital experiences to stay ahead of constantly evolving economic, competitive, technological, and customer needs. This role sits at the intersection of product teams, platform standards, and external partners. You will help federated product teams successfully publish APIs while ensuring consistent security, reliability, and operational readiness – balancing speed with quality at scale, while evaluating emerging AI capabilities to automate tasks. You are an advocate for partner experience, launch readiness, and long-term success, making sure APIs are not only built quickly but are safe, supportable, and easy for partners to adopt and use. As an API Customer Experience Professional, you will:

Enable API Launch Readiness and Quality

  • Support federated product teams as they prepare APIs for launch, ensuring they meet enterprise standards for security, reliability, and operational readiness
  • Act as a guide—not a gatekeeper—helping teams understand expectations and resolve issues early
  • Streamline and automate launch requirements to reduce time to market

Champion a Consistent Partner Experience

  • Ensure partners experience one cohesive process, even when APIs come from different teams or business lines
  • Identify gaps or inconsistencies in documentation, onboarding, support, or operational handoffs that impact partners

Reduce Risk Through Standards and Governance

  • Help enforce consistent standards and controls that reduce enterprise, regulatory, and partner risk
  • Ensure APIs remain compliant throughout their lifecycle—not just at launch
  • Support escalation paths, and ongoing health monitoring for partner-facing APIs

Support Scale and Time to Market

  • Leverage shared services, patterns, and governance models to help teams move faster without sacrificing quality
  • Help the organization scale partner growth while keeping operational and compliance risk manageable

Act as a Cross-Functional Connector

  • Collaborate closely with product managers, engineering teams, security, legal, operations, and partner support
  • Translate enterprise expectations into practical guidance that teams can act on
  • Represent partner needs in internal discussions and planning efforts

Basic Qualifications

· Bachelor's degree or equivalent experience

· 3–5 years working with APIs

Preferred Skills/Experience

  • Knowledge of performance testing, API governance, and developer portals.
  • Knowledge of Swagger/OpenAPI documentation and design.
  • Experience in technical writing and/or communications experience which involved the definition of workflows, procedures, and training materials for technical and non-technical audiences
  • Experience building interfaces with Power Apps and automations with Power Automate.
  • Experience in prompt engineering: design, writing, and refining prompts to achieve desired AI outcomes.
  • Positive, team-oriented attitude with strong verbal and written communication skills.
  • High attention to detail with strong information design, visual presentation, and organizational skills.
  • Strong influencing, partnership, and cross-functional collaboration skills.
  • Ability to manage multiple complexes, highly visible tasks and deadlines with limited supervision.
  • Ability to quickly learn new skills and processes and adapt to changing requirements.
  • Proficiency with Microsoft Office; familiarity with tools such as Jira, Confluence, PowerPoint, SharePoint, and ServiceNow is a plus.
  • Preferred technical skills: Java or Python; NLP/LLMs; agentic AI; vector databases; Power Apps/Power Automate; Postman; Datadog; API Metrics; Splunk; and MCP.
  • Preferred non-technical skills: problem decomposition, AI safety guardrails, and managing agentic workflows.