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Python Sql Jobs in Minneapolis, MN (NOW HIRING)

Digital Analyst Internships

Minneapolis, MN

$102K - $121K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Senior AI Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

Deep expertise in Python, SQL, and enterprise cloud data platforms * Ability to work effectively with business operations to translate operational needs into technical architecture * Experience in ...

Digital Analyst Internships

Minneapolis, MN · On-site

$102K - $121K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Digital Analyst Internships

Plymouth, MN · On-site

$102K - $121K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Digital Analyst Internships

Plymouth, MN

$102K - $121K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Showing results 21-40

Python Sql information

See Minneapolis, MN salary details

$13

$61

$90

How much do python sql jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for 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 is a Python SQL?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

What are the key skills and qualifications needed to thrive in the Python SQL position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

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

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

What are popular job titles related to Python Sql jobs in Minneapolis, MN?

For Python Sql jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Minneapolis, MN look for?

The top searched job categories for Python Sql jobs in Minneapolis, MN are:

Infographic showing various Python Sql job openings in Minneapolis, MN as of September 2026, with employment types broken down into 47% Full Time, and 53% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,273 per year, or $61.2 per hour.

Data Science Intern - Summer 2027

Lakeville, MN • On-site

Post Consumer Brands
Manufacturing • 1 - 5K employees

Temporary, Internship

Posted 7 days ago


Post Consumer Brands rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

49th of 445 rated food and drinks producers


Job description

Business Unit Overview

Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.


Location Description

Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America. 


Responsibilities

Launch Your Data Science Career at Post Consumer Brands


Interested in machine learning, analytics, artificial intelligence, or data-driven problem solving? Join Post Consumer Brands as a Data Science Intern for a 12-week summer experience designed to provide meaningful work, professional development, and hands-on exposure to enterprise data science and analytics solutions.


As a Data Science Intern, you'll work alongside experienced data professionals to uncover insights, solve business challenges, and develop analytics solutions that drive decision-making across the organization. You'll gain experience with technologies including Python, Snowflake, Snowpark ML, Snowflake Cortex, dbt, SQL, and data visualization tools while contributing to projects that create real business value.

What You'll Do


Depending on business needs and your interests, you may have opportunities to:

  • Develop and enhance machine learning and statistical models.
  • Analyze enterprise data to identify trends, opportunities, and insights.
  • Create dashboards, visualizations, and analytical tools for business stakeholders.
  • Partner with cross-functional teams to solve complex business challenges.
  • Support the development of scalable analytics and data science solutions.

Potential Project Opportunities

  • Build, test, and optimize machine learning models.
  • Engineer new features and data sets to improve model performance.
  • Evaluate internal and external data sources for new analytics opportunities.
  • Conduct analyses to address key business questions and strategic initiatives.
  • Develop dashboards and visualizations that communicate actionable insights.
  • Use Python, SQL, and modern analytics tools to generate recommendations.


Specific assignments will be determined prior to the internship based on business needs and intern interests.

Why Intern at Post?

  • Work on projects that have a real impact on business decisions.
  • Participate in professional development, networking, and social events.
  • Build relationships with leaders, mentors, and fellow interns.
  • Gain hands-on experience with machine learning, analytics, and cloud-based data platforms.
  • Present your work and recommendations to key stakeholders.
  • Develop skills that can help launch a future career with Post Consumer Brands.

Qualifications

What We're Looking For

  • Pursuing a bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or a related field, with an expected graduation date between December 2027 and August 2028.
  • Strong analytical, problem-solving, and communication skills, with a natural curiosity to understand the "why" behind business challenges.
  • Experience with Python, R, SQL, or similar analytical tools, along with familiarity with Power BI, Tableau, Excel, or other data visualization platforms.
  • Understanding of statistical modeling, machine learning, or predictive analytics concepts.
  • Ability to work independently and collaborate effectively within a team environment.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Preferred

  • Previous internship, work, leadership, research, or project experience.
  • Experience with platforms such as Snowflake, Databricks, Hadoop, or similar technologies.
  • Interest in the consumer packaged goods or manufacturing industry and a desire to explore career opportunities with Post Consumer Brands after graduation.

Internship Perks

  • Competitive pay and starting bonus
  • Professional development, networking, and social events
  • Exposure to leaders across the organization
  • Free cereal, oatmeal, coffee, milk, and snacks

Past interns have developed machine learning models, uncovered actionable business insights, and applied advanced analytics to solve real-world business challenges.

Compensation for this role is $25.00 per hour.

This role will be posted until October 4, 2026.

Qualifications:

What We're Looking For

  • Pursuing a bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or a related field, with an expected graduation date between December 2027 and August 2028.
  • Strong analytical, problem-solving, and communication skills, with a natural curiosity to understand the "why" behind business challenges.
  • Experience with Python, R, SQL, or similar analytical tools, along with familiarity with Power BI, Tableau, Excel, or other data visualization platforms.
  • Understanding of statistical modeling, machine learning, or predictive analytics concepts.
  • Ability to work independently and collaborate effectively within a team environment.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Preferred

  • Previous internship, work, leadership, research, or project experience.
  • Experience with platforms such as Snowflake, Databricks, Hadoop, or similar technologies.
  • Interest in the consumer packaged goods or manufacturing industry and a desire to explore career opportunities with Post Consumer Brands after graduation.

Internship Perks

  • Competitive pay and starting bonus
  • Professional development, networking, and social events
  • Exposure to leaders across the organization
  • Free cereal, oatmeal, coffee, milk, and snacks

Past interns have developed machine learning models, uncovered actionable business insights, and applied advanced analytics to solve real-world business challenges.

Compensation for this role is $25.00 per hour.

This role will be posted until October 4, 2026.

Education:UNAVAILABLEEmployment Type: INTERN

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