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Flexible Python Developer Remote Jobs in Minneapolis, MN

Database Developer Location: Remote (Local to Minnesota Preferred) Employment Type: Contract ... Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server.

Data Engineer

Minneapolis, MN ยท Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Sr AI/ML Engineer - Remote

Minnetonka, MN ยท On-site +1

$106K - $146K/yr

Design, develop, and optimize robust AI/ML capabilities using Python to address complex ... Collaborate with software engineers, data engineers, and underwriting stakeholders to deliver ...

Sr AI/ML Engineer - Remote

Minnetonka, MN ยท On-site +1

$106K - $146K/yr

Design, develop, and optimize robust AI/ML capabilities using Python to address complex ... Collaborate with software engineers, data engineers, and underwriting stakeholders to deliver ...

Cloud Data Engineer

Minneapolis, MN ยท Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ ... Experience with Python or other scripting languages for data processing. * * Proficiency in DevOps ...

Process Controls Engineer

Saint Paul, MN ยท Remote

$84K - $109K/yr

Controls / Process Control Engineer Remote in Minnesota or Wisconsin | Occasional Office Visits ... Flexible schedule * Retirement plan Be the first to learn about future positions by joining our ...

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Flexible Python Developer Remote information

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$61

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How much do flexible python developer remote jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for flexible python developer remote in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

What is a flexible Python developer remote?

A Flexible Python Developer Remote is a software developer who specializes in using the Python programming language and works remotely, often with flexible hours. This role allows professionals to contribute to projects from any location and adapt their work schedule to suit their needs, as long as deadlines and project goals are met. Flexible Python Developers may work for companies, as freelancers, or on contract, and are valued for their ability to efficiently solve problems and collaborate with teams online. The flexibility of this job makes it attractive for those seeking work-life balance and the freedom to work from anywhere.

What are the key skills and qualifications needed to thrive as a flexible Python developer remote?

To thrive as a Flexible Python Developer Remote, you need strong proficiency in Python programming, experience with software development frameworks, and ideally a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and possibly certifications in Python or cloud technologies are often required. Excellent self-motivation, communication, and time management skills distinguish top performers in remote roles. These competencies enable efficient, high-quality code delivery and effective collaboration across distributed teams.

How do flexible Python developer roles typically balance independent work with team collaboration in a remote environment?

Flexible Python Developer positions often combine significant independent coding time with regular team collaboration, typically through virtual meetings and agile workflows. While you'll have the autonomy to manage your schedule and tasks, expect to participate in daily stand-ups, code reviews, and pair programming sessions using tools like Slack, Zoom, and GitHub. This structure ensures alignment on project goals and fosters knowledge sharing, while still allowing flexibility in how and when you complete your work. Successfully navigating this balance requires strong communication skills and proactive updates to keep the team informed.

What is the difference between Flexible Python Developer Remote vs Python Software Engineer?

AspectFlexible Python Developer RemotePython Software Engineer
CredentialsProficiency in Python, experience with remote work toolsProficiency in Python, often with additional software engineering certifications
Work EnvironmentRemote, flexible hours, independentTypically office-based or hybrid, structured hours
Industry UsageFreelance, startups, tech companiesTech firms, large corporations, product teams
Search IntentRemote Python jobs, freelance Python rolesFull-time Python development roles

Flexible Python Developer Remote roles focus on remote, flexible work arrangements often suited for freelancers or independent contractors. Python Software Engineer positions are usually full-time, structured roles within companies. While both require Python skills, the work environment and employment type differ significantly, catering to different job seekers' preferences.

What are the most commonly searched types of Python Developer Remote jobs in Minneapolis, MN?

The most popular types of Python Developer Remote jobs in Minneapolis, MN are:

What are popular job titles related to Flexible Python Developer Remote jobs in Minneapolis, MN?

For Flexible Python Developer Remote jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Flexible Python Developer Remote jobs in Minneapolis, MN look for?

The top searched job categories for Flexible Python Developer Remote jobs in Minneapolis, MN are:

Infographic showing various Flexible Python Developer Remote job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $127,273 per year, or $61.2 per hour.

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN โ€ข Remote

Contractor

Re-posted 10 days ago


Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.