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Remote Python Data Engineer Jobs in Minneapolis, MN

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

High School Diploma/GED OR equivalent experience * 8 years of hands-on data engineering experience ... years of Python experience, particularly for data processing, orchestration, or validation ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

... DevOps practices, Big Data technologies, Apache Spark, and Azure Cloud * 6 years of hands-on ... Python, PySpark * Cloud Technologies: Azure (ADF, Databricks, Synapse, SQL Server, Web Apps, Key ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

Data Engineering & Pipeline Development * Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage large-scale data ingestion, transformation, and ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Bachelor's degree in CS or IT related field * 5 years of experience as a Data Engineer * 5 years of ... of experience in Python and must be willing to do hands on coding as needed Preferred ...

Varsity Tutors

Python Tutor

Saint Paul, MN · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Minneapolis, MN · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Edina, MN · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Showing results 1-20

All JobsRemote Python Data Engineer JobsRemote Python Data Engineer Jobs in Minneapolis, MN

Remote Python Data Engineer information

See Minneapolis, MN salary details

$24K

$146.1K

$211.4K

How much do remote python data engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote python data engineer in Minneapolis, MN is $146,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,300.00 and $171,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

Remote Python Data Engineer jobs near you
Infographic showing various Remote Python Data Engineer job openings in Minneapolis, MN as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $146,102 per year, or $70.2 per hour.
Software Engineer, Data

Software Engineer, Data

Bold Orange Company, LLC

Minneapolis, MN • Remote

$100K - $130K/yr

Other

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

About Bold Orange:
Bold Orange (BOCO) is a customer experience company. We believe authentic human connections are the single most important driver of business and societal progress. We exist to create these connections across the customer lifecycle, from acquisition to engagement to retention. Our culture is one of curiosity, collaboration, proactivity and always bringing the outside, future focused perspective to our clients.
Position Summary:
We are looking for a Software Engineer, Data to join our growing technology team. This is a hands-on, data-focused engineering role centered on Snowflake. You'll design data models, build and optimize pipelines, and turn raw client data into reliable, well-governed analytics and activation platforms. You'll pair that data work with back-end and DevOps engineering across multiple client engagements, collaborating closely with project managers, developers, and client stakeholders to deliver scalable, performant solutions. Snowflake powers a SaaS platform we operate and a growing share of our data work, and it's where we're investing to get stronger, so deep, demonstrable Snowflake expertise is the primary focus of this role. You may also work with Redshift and Databricks, which we use internally and on behalf of clients, but Snowflake is where we want this person to be strongest.
Duties and Responsibilites:
  • Architect, build, and maintain data models, warehouses, and ELT/ETL pipelines in Snowflake, optimizing for performance, scalability, and cost
  • Develop and tune complex SQL, stored procedures, and transformations in Snowflake and supporting relational databases (SQL Server, PostgreSQL)
  • Leverage native Snowflake capabilities such as Snowpipe, Streams & Tasks, dynamic tables, and external/stage integrations to deliver reliable, near-real-time data flows
  • Own Snowflake performance, governance, and cost management, including warehouse sizing, clustering, role-based access controls, and data security
  • Design, build, and maintain back-end APIs and services in Python and C#/.NET that feed and consume the Snowflake platform
  • Manage CI/CD pipelines and support deployment automation across cloud and on-premise environments
  • Configure and maintain infrastructure on Windows Server and Linux environments
  • Integrate third-party platforms and APIs (HubSpot, Azure DevOps, and others)
  • Troubleshoot production issues across a multi-client environment with professionalism and urgency
  • Contribute to technical documentation, architecture decisions, and code reviews
  • Collaborate with account managers and clients to scope, estimate, and deliver technical work
  • Mentor junior engineers and contribute to team best practices
Required Qualifications:
  • 4+ years of professional software engineering experience, with significant time spent in data engineering
  • Deep, hands-on Snowflake expertise: production experience designing data models and warehouses, building ELT/ETL pipelines, and writing performant SQL on the platform
  • Working knowledge of Snowflake performance tuning, cost optimization, and security/governance (warehouse sizing, clustering, RBAC)
  • Strong proficiency in Python and C# for back-end development
  • Hands-on experience with relational SQL databases (SQL Server, PostgreSQL, MySQL)
  • Proven experience building and consuming REST APIs
  • Practical DevOps experience: CI/CD pipelines, deployment automation, server configuration
  • Comfort working in both Windows Server and Linux environments
  • Ability to manage and context-switch across multiple concurrent client projects
  • Strong written and verbal communication skills, including technical communication with non-technical stakeholders
Preferred Qualifications:
  • Active SnowPro certification(s): SnowPro Core is strongly preferred, and one or more SnowPro Advanced certifications (e.g., Data Engineer, Architect) is a significant plus
  • Snowflake features of CoCo, CoWork, Horizon Catalog, and Horizon Context (Semantic Views).
  • Redshift and/or Databricks: experience with additional data warehouse or lakehouse platforms (both used at Bold Orange)
  • Experience with Azure DevOps, Azure App Services, or other Azure services
  • Exposure to HubSpot CMS, APIs, or marketing automation platforms
  • Familiarity with IIS, .NET deployment, or Windows service management

$100,000 - $130,000 a year
We benchmark salaries across industry standards and local markets to ensure we offer competitive, fair compensation. Final offers reflect a candidate's skills, experience, and location. The annual base for this position is anticipated to start at or around $115k in the Greater Minneapolis/St. Paul, MN market. Final compensation will be dependent on the ideal candidates experience and local market at the time of hire.
Benefits That Matter:
Our benefits are designed to support life's many stages-expected and unexpected. Eligible employees can access:
• Medical, dental, and vision insurance
• Virtual mental health support
• Health Savings and Flexible Spending Accounts (including dependent care)
• Infertility and critical illness benefits
• 401(k) with generous 6-10% employer contribution
• Paid parental leave
• Tuition reimbursement
• Free parking and commuter support
Note: Some benefits apply only to full-time employees.
Who We Are:
Our tone is professionally sassy. We embrace meat raffles, hot seats, and the occasional Jell-O shot. We like staff meetings that are informative, educational, and at times, damn funny. We believe in no hierarchy, no bullshit, no politics. Just honest, hard work and great fun.
Equal Opportunity Employer:
We are an equal opportunity employer, dedicated to a policy of nondiscrimination in employment on any basis including race, color, creed, gender, sexual orientation, age, disability, religion, national origin, marital status, familial status, ancestry, status as a veteran, status with regard to public assistance and any other characteristic protected by law. Bold Orange does not and will not discriminate against employees, prospective employees, clients, or vendors.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.

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