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Api Python Jobs in Minnesota (NOW HIRING)

... and direct API integrations such as Meta Conversions API (CAPI), to improve data accuracy ... Strong SQL and Python skills, including writing complex queries, automating workflows and working ...

... and direct API integrations such as Meta Conversions API (CAPI), to improve data accuracy ... Strong SQL and Python skills, including writing complex queries, automating workflows and working ...

... and direct API integrations such as Meta Conversions API (CAPI), to improve data accuracy ... Strong SQL and Python skills, including writing complex queries, automating workflows and working ...

... and direct API integrations such as Meta Conversions API (CAPI), to improve data accuracy ... Strong SQL and Python skills, including writing complex queries, automating workflows and working ...

... Python/.NET ecosystems. - Experience with web frameworks and modern UI (React or similar) and REST API development. - Working knowledge of CI/CD, Git workflows, and automated testing. - Comfort ...

... Python/.NET ecosystems. - Experience with web frameworks and modern UI (React or similar) and REST API development. - Working knowledge of CI/CD, Git workflows, and automated testing. - Comfort ...

Team Lead, Software QA Engineer

Minneapolis, MN · Hybrid

$134.60K/yr

... w/ Python, Java & JS; test automation w/ tools such as Leapwork & Selenium; database testing ... CI/CD, DevOps Integration & Git; version ctrl. systems & Git branching strategies; & API testing w ...

ML Engineer

Minnetonka, MN · On-site

$100K - $120K/yr

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

ML Engineer

Minnetonka, MN · On-site

$100K - $120K/yr

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

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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:

Data Analyst

Rocket 55 LLC

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Description:

Data Analyst

Minneapolis, MN


Location:

We provide a hybrid work schedule, allowing employees to work from home on some days and be present in the office on others. Office Address: 500 Washington Ave S, Suite #1000, Minneapolis, MN 55415


Company Overview:

If you’re looking for a fast-paced, growth-focused environment to flex your digital marketing muscle, Rocket55 is a perfect fit. Rocket55 has been a full-service digital marketing agency for 16+ years, no small feat in an industry that changes and evolves daily. Keeping up with the technological innovations and market trends in our industry makes every day working here an adventure. We’re looking for fellow hard-working digital enthusiasts who are eager to drive results for our clients, thrive in a diverse and dynamic workplace, and add to a culture of curiosity, innovation, and awesomeness.

Join our energetic, success-driven team and be part of a company that values relentless pursuit of results, curiosity, collaboration, and adaptability. If you are driven by excellence and hungry for success, we want to hear from you!


Job Summary:

At Rocket55, we live at the intersection of data-driven strategy and bold creative execution. As a Data Analyst on our Analytics team, you won’t just be "managing data" — you’ll be building the sophisticated infrastructure that powers our clients' competitive advantage.

This role is responsible for designing, building and maintaining scalable marketing data infrastructure that powers reporting, attribution, analytics and strategic decision-making across client accounts. The ideal candidate combines deep technical expertise in data engineering and tracking implementation with a strong understanding of digital marketing platforms and performance analytics. You will work cross-functionally with marketing strategists, analysts, developers and client teams to ensure accurate data collection, seamless integrations and actionable insights that drive campaign performance and business growth.


Responsibilities:

  • Collect, clean and analyze data from digital marketing platforms, including Google Analytics (GA4), social media channels, advertising networks and CRM systems.
  • Build, maintain and optimize dashboards and reporting environments that track campaign performance, KPIs and business outcomes.
  • Implement and manage event and conversion tracking through Google Tag Manager (GTM) across websites and advertising platforms, including GA4, Google Ads, Meta, LinkedIn and other marketing channels.
  • Lead the implementation and migration of server-side tracking solutions, including Server-Side Google Tag Manager (sGTM) and direct API integrations such as Meta Conversions API (CAPI), to improve data accuracy, attribution and privacy compliance.
  • Translate complex datasets into actionable insights, identifying trends, opportunities and performance drivers that inform marketing strategy.
  • Partner with cross-functional agency teams to develop reporting visualizations and analytics solutions that clearly communicate campaign impact and client value.
  • Conduct regular audits and quality assurance checks to ensure data accuracy, consistency and integrity across platforms.
  • Present findings and recommendations clearly to internal stakeholders and clients through reports, dashboards and presentations.
  • Stay current on evolving analytics technologies, digital marketing trends and privacy regulations.
  • Design and maintain scalable ETL/ELT pipelines using tools such as dbt, Fivetran, and Python to centralize marketing and business data in BigQuery.
  • Support advanced attribution and measurement initiatives, including AI-assisted modeling, predictive analytics and machine learning integrations within reporting environments.
Requirements:

Required Experience, Skills, and Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Marketing, Business, Computer Science or a related field.
  • 3+ years of experience in data analytics, marketing analytics or business intelligence, preferably within a digital marketing agency environment.
  • Advanced knowledge of Google Analytics (GA4) and data visualization platforms such as Data Studio, Tableau or Power BI.
  • Hands-on experience implementing and managing advanced website and marketing tracking through Google Tag Manager (GTM), including ecommerce, custom event tracking and cross-platform integrations.
  • Experience configuring and managing server-side GTM environments using platforms such as Stape, Freshpaint or Cloudflare Zaraz.
  • Strong SQL and Python skills, including writing complex queries, automating workflows and working with APIs for data extraction and transformation.
  • Experience working with Google Cloud Platform (GCP), particularly BigQuery, is strongly preferred.
  • Familiarity with marketing and advertising APIs, including Meta Conversions API and Google Ads API, for secure first-party data integrations.
  • Experience integrating marketing and CRM data to support closed-loop attribution and performance measurement across platforms such as HubSpot or Salesforce.
  • Strong analytical and problem-solving skills with the ability to synthesize large datasets into meaningful business insights.
  • Understanding of digital marketing channels and performance metrics, including SEO, paid media, social media and conversion optimization.
  • Excellent written and verbal communication skills with the ability to present technical concepts and data insights to both technical and non-technical audiences.
  • Strong attention to detail, organizational skills and commitment to data quality.
  • Ability to manage multiple projects simultaneously and collaborate effectively within a team environment.



Salary Range:

$55,000 - $80,000- depending on experience and qualifications.


Total Compensation Package:

This position offers full-time employment along with a comprehensive benefits package that includes:

  • Complimentary parking
  • Health, dental, and vision insurance
  • 401(k) with matching contributions from the Company
  • Life insurance and Accidental Death & Dismemberment (AD&D) coverage
  • Company-provided Short Term Disability insurance
  • Long Term Disability coverage
  • Paid Time Off
  • Holiday pay, including Floating Holiday
  • Flexible work schedules


Commitment to Inclusion:

Rocket55 is an equal opportunity employer and is dedicated to creating an inclusive work environment void of harassment and discrimination. Our goal at Rocket55 is to cultivate a culture where each team member feels appreciated, empowered, and motivated to pursue both personal and collective objectives. This commitment entails ensuring opportunity and accessibility for individuals of all backgrounds, including but not limited to race, ethnicity, age, marital status, gender, sexual orientation, gender identity, gender expression, religion, national origin, disabilities, political affiliation, and socioeconomic status.

Note: This job description is intended to provide a general overview of the position and does not encompass all responsibilities and qualifications that may be required. The role may evolve based on the needs of the company.