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Remote Python Sql Jobs in Minneapolis, MN (NOW HIRING)

Noblesoft Technologies

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ ... Strong experience in ETL development using SQLServer, SSIS, and T-SQL. * * Experience with Python ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Query, manage, and analyze data using both SQL and NoSQL database technologies. * A degree from an ... Proficiency in practical application of Core Python Concepts. * Proficiency in Generative AI and ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

Query, manage, and analyze data using both SQL and NoSQL database technologies. Qualifications * A ... Proficiency in practical application of Core Python Concepts. * Proficiency in Generative AI and ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Query, manage, and analyze data using both SQL and NoSQL database technologies. Qualifications * A ... Proficiency in practical application of Core Python Concepts. * Proficiency in Generative AI and ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Write and optimize complex SQL queries, stored procedures, and database functions for performance ...

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All JobsPython Sql JobsRemote Python Sql JobsRemote Python Sql Jobs in Minneapolis, MN

Remote Python Sql information

See Minneapolis, MN salary details

$13

$61

$90

How much do remote python sql jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote python sql 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 are some common challenges faced by Remote Python & SQL Developers, and how can they be addressed?

Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.

What is a Remote Python SQL job?

A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.

What is the difference between Remote Python Sql vs Remote Data Analyst?

AspectRemote Python SqlRemote Data Analyst
Required SkillsPython, SQL, data manipulationData visualization, SQL, statistical analysis
Work EnvironmentRemote, programming-focusedRemote, analysis and reporting
Industry UsageTech, finance, data-driven companiesBusiness, marketing, finance
CertificationsPython, SQL certificationsData analysis, Excel, Tableau certifications

Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Remote Python SQL Developer, and why are they important?

To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.
What are popular job titles related to Remote Python Sql jobs in Minneapolis, MN? For Remote Python Sql jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Remote Python Sql jobs in Minneapolis, MN look for? The top searched job categories for Remote Python Sql jobs in Minneapolis, MN are:
Remote Python Sql jobs near you
Infographic showing various Remote Python Sql job openings in Minneapolis, MN as of July 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 100% 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

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

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Re-posted 15 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.