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Python Sql Jobs in Minneapolis, MN (NOW HIRING)

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage large-scale data ingestion, transformation, and orchestration frameworks * Optimize database queries ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Write clean, efficient, and well-documented Python and SQL code to process and transform large, complex datasets. * Monitor, troubleshoot, and optimize data pipeline performance, identifying and ...

Proficiency in Python, SQL, PySpark, and distributed data processing frameworks. * Deep understanding of data modeling, data governance, metadata management, and modern security practices.

Experience with Python, SQL, MODBUS, Ethernet, or communication protocols. * Customer-facing technical support or field service experience. Benefits * Discretionary profit-sharing bonus opportunity

EMS Engineer

Bloomington, MN · On-site

$100 - $130/hr

Experience with Python, SQL, or C language Success in This Role Looks Like * EMS displays, dashboards, and integrations are built, tested, and maintained to support reliable ROC monitoring and ...

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EMS Engineer

Minneapolis, MN · On-site

$100K - $130K/yr

Experience with Python, SQL, or C language Success in This Role Looks Like * EMS displays, dashboards, and integrations are built, tested, and maintained to support reliable ROC monitoring and ...

Python / FastAPI, REST APIs * SQL Server * React / Angular * GitHub Actions (CI/CD) * Docker, Kubernetes Preferred Skills * MongoDB * Java * Data lake / large‑scale migration experience Candidate ...

Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server. * Execute large-scale data migration, cleansing, validation, and transformation across enterprise systems.

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Strong experience in ETL development using SQLServer, SSIS, and T-SQL. * * Experience with Python or other scripting languages for data processing. * * Proficiency in DevOps and CI/CD practices using ...

Proficiency in Python, SQL, PySpark, and distributed data processing frameworks. * Deep understanding of data modeling, data governance, metadata management, and modern security practices.

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Showing results 41-60

Python Sql information

See Minneapolis, MN salary details

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$61

$90

How much do python sql jobs pay per hour?

As of Aug 19, 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 August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,273 per year, or $61.2 per hour.

$72K - $130K/yr

Full-time

Retirement

Posted 8 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 888 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.  

We are seeking a highly skilled  Data Engineer to the design, development, and optimization of largescale data platforms and analytical solutions. The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python, Airflow, and overall data management best practices, with a strong ability to lead teams, define architecture, and drive data strategy across the organization.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Technical Leadership
    • Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows
    • Lead endtoend data engineering efforts, ensuring reliability, performance, and costefficient data systems
    • Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration
    • Collaborate with crossfunctional teams (analytics, product, engineering, business) to align data solutions with business goals
  • Data Engineering & Pipeline Development
    • Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow
    • Manage large-scale data ingestion, transformation, and orchestration frameworks
    • Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems
  • Cloud & Infrastructure
    • Develop and manage cloudnative data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)
    • Ensure high availability, disaster recovery, and monitoring of critical data workflows
    • Implement CI/CD, infrastructureascode, and DevOps practices for data engineering workloads
  • Data Warehousing & Modeling
    • Design and enhance enterprise data warehouses and data marts following industry best practices
    • Drive dimensional modeling, data partitioning, performance tuning, and metadata management
    • Ensure consistency and quality across analytical datasets and data sources
  • Data Governance & Quality
    • Establish data quality frameworks, lineage tracking, validation checks, and documentation
    • Implement governance standards including security, compliance, and access control
    • Partner with business stakeholders to define and enforce master data and reference data strategies
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI   

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in CS or IT related field or equivalent experience in Lieu of degree
  • 6 years of experience in Data Engineering, with at least 3 years in a senior/principallevel role
  • 4 years of experience in MSSQL-query optimization, indexing, stored procedures, performance tuning
  • 4  years of experience in Data Warehousing, ETL/ELT, and bigdata processing
  • 3 years of handson experience with AWS Cloud for data architecture and pipeline development
  • 3 years of experience in Python for data engineering (Pandas, PySpark, etc.)
  • 2 years of extensive experience with Airflow for workflow orchestration
  • 2 years of experience in data management principles: governance, quality, lineage, and security

Preferred Qualifications:

  • Excellent leadership, communication, and crossteam collaboration skills
  • Ability to translate business needs into scalable technical designs

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.  

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO, #GREEN


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