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

Hybrid - onsite and remote Responsibilities * Deploy and manage automated field devices such as ... Programming skills in Python and SQL (preferred) * Strong problem-solving skills and ability to ...

Senior Database Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

... PL/SQL). * 3+ years of experience with automation tooling such as Ansible, Terraform, Python ... Direct experience with Google Cloud AlloyDB #LI-Remote Surescripts embraces flexibility through its ...

... a remote position. In this role, you will have the opportunity to: * Partner with Operating ... SQL/Python, Power BI, API experience (software systems connectivity and exchange of data ...

Senior AI Engineer

Minneapolis, MN · Remote

$109K - $149K/yr

This remote opportunity offers the chance to work across teams, build scalable cloud-native AI ... Proficiency in Python and common ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn.

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Remote Python Sql information

See Minneapolis, MN salary details

$13

$61

$90

How much do remote python sql jobs pay per hour?

As of Sep 10, 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 is a remote Python SQL developer?

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 skills and qualifications are needed to thrive as a remote Python SQL developer?

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 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 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 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:

Infographic showing various Remote Python Sql job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $127,273 per year, or $61.2 per hour.

Principal Data Engineering - Remote - CST

Eden Prairie, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

Full-time

Retirement

Re-posted 26 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

194th of 898 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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Principal Data Engineering professional within the Optum Insight Engineering AI team, you will design and develop robust public cloud data systems, services, and reusable patterns that drive massive scale and performance. Our team's vision is to deliver secure, private, and highly scalable Azure cloud solutions that enable the organization to utilize clean, reliable data safely and swiftly. In this role, you will lead the creation of modern ETL/ELT pipelines, Spark workflows, and AI integrations. Working with advanced platforms such as Azure Databricks, Snowflake, and LLMs, you will build data solutions that empower machine learning, insights generation, and business automation, directly contributing to better clinical and administrative connectivity across the healthcare system.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S. during Central time zone business hours as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design and Develop Scalable Cloud Applications: Develop services, controls, and reusable patterns (such as microservices and Azure functions) that enable the team to deliver value safely, quickly, and sustainably in the Azure public cloud while enabling security and privacy at scale
  • Build and Optimize Large-Scale Data Pipelines: Design, build, optimize, and manage modern large-scale data pipelines and ETL/ELT processing on Azure Databricks, LakeBase, and Apache Spark to support data integration, analytics, machine learning features, and predictive modeling
  • Deploy AI and Data-Driven Solutions: Develop and deploy large-scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting, and new data products while utilizing enterprise-approved AI tools to address complex business challenges
  • Develop AI-Powered Business Solutions: Build AI-based solutions for solving business needs, automating processes, and streamlining workflows to drive operational efficiency and continuous improvement
  • Architectural Evolution and Standards: Participate in the architectural evolution of data engineering patterns, frameworks, systems, and platforms, including defining best practices and standards for managing data collections and integrations
  • Improve System Quality and Data Reliability: Write advanced, complex SQL with performance tuning and optimization to identify and implement ways to improve data reliability, data integrity, system efficiency, and overall quality
  • Collaborative Leadership and Mentoring: Foster high-performance, collaborative technical work resulting in high-quality output. Mentor other data engineers, providing technical direction and training on leveraging cloud data platforms
  • Stakeholder and Requirement Analysis: Intersect skillfully with business stakeholders and third-party technical organizations to understand new product capabilities, decompose implementations into specific functional changes, analyze data for decision-making, and provide detailed, realistic estimates
  • Evaluate Emerging Trends: Evaluate emerging trends to inform solution design, strategic innovation, and the evolution of cloud data architectures
  • Best Practices in performance scalability and optimization

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction 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 or equivalent experience (such as an additional 8+ years of data engineering experience)
  • 10+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes
  • 7+ years of experience in Python
  • 5+ years of experience in Apache Spark (PySpark/Spark SQL)
  • 5+ years of experience in SQL, including designing complex data schemas and query performance optimization
  • 3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)
  • 3+ years of experience building and deploying cloud-based solutions using Azure Databricks with UC, Snowflake, Functions, or Service Bus
  • 3+ years of experience with DevOps automation using Terraform
  • 3+ years of experience with CI/CD processes and tools (such as GitHub Actions, GIT, Artifactory, or Sonar)
  • 2+ years of experience building LLM integrations for workflow automation or business needs

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline
  • Healthcare and Provider domain experience
  • Experience working with LLMs
  • Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
  • Extensive knowledge of data modeling techniques including slowly changing dimensions, aggregation, partitioning, and indexing strategies
  • Proven ability to independently troubleshoot and performance tune large-scale enterprise systems
  • Proven excellent collaborator with experience working effectively with cross-functional teams such as leadership, product management, and engineering, with a willingness to inspire other data engineers, data scientists, and analysts
  • Proven solid communication skills with the ability to communicate technical concepts to both technical and non-technical audiences

*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 $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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