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Remote Azure Data Engineer Jobs in Minnesota (NOW HIRING)

Thrivent Financial

Staff Engineer

Minneapolis, MN · On-site +1

$173K/yr

Ensure that data pipelines are scalable, reliable, and performant, and that they adhere to data ... Cloud technologies: AWS, Azure, Google Cloud, OpenStack, Docker, Ansible, Chef, Lambdas ...

UnitedHealth Group

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

Working closely with cross-functional software engineers, data scientists, and business ... a remote-friendly environment, we encourage you to apply. You'll enjoy the flexibility to ...

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All JobsAzure Data Engineer JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in Minnesota

Remote Azure Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

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

As of Sep 5, 2026, the average yearly pay for remote azure data engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are the most commonly searched types of Azure Data Engineer jobs in Minnesota?

The most popular types of Azure Data Engineer jobs in Minnesota are:

What are popular job titles related to Remote Azure Data Engineer jobs in Minnesota?

For Remote Azure Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Engineer jobs in Minnesota look for?

The top searched job categories for Remote Azure Data Engineer jobs in Minnesota are:

Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.

Senior Data Engineer (Snowflake)

Oowlish Technology

Minneapolis, MN • On-site, Remote

$110K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role:
We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help build and optimize modern cloud-based data solutions that support critical business operations.
In this role, you'll design, develop, and maintain scalable ETL/ELT pipelines, optimize data models, and ensure the delivery of accurate, high-quality data to downstream business systems. You'll work with modern cloud-native technologies while helping evolve the organization's data platform toward a Snowflake and dbt architecture.
The ideal candidate has strong experience building enterprise data pipelines, designing scalable data warehouses, and transforming complex business requirements into reliable data solutions.
Remote - United States (Midwest Preferred)
Occasional travel to Chicago may be required.
Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
  • Build and optimize data models in Snowflake for analytics and operational reporting.
  • Develop data transformation processes supporting business intelligence and downstream applications.
  • Design and maintain enterprise data pipelines integrating CRM, ERP, billing, and other business systems.
  • Ensure data quality, integrity, consistency, and reliability across all data workflows.
  • Build and maintain outbound integrations with enterprise applications and reporting platforms.
  • Monitor, troubleshoot, and optimize pipeline execution and query performance.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Support the evolution of modern cloud-native data architecture using Snowflake and dbt.
  • Participate in code reviews and continuously improve engineering best practices.

Requirements:
  • 5+ years of professional Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Strong SQL and data warehousing experience.
  • Experience designing and maintaining ETL/ELT pipelines.
  • Experience working with enterprise business data.
  • Experience integrating multiple enterprise applications.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.
  • Strong written and verbal English communication skills.
  • Must be based in the United States.

Must Have:
  • 5+ years of Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Advanced SQL skills.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience with Matillion or similar ETL/ELT platforms.
  • Strong data modeling experience.
  • Experience designing enterprise data warehouses.
  • Experience optimizing Snowflake performance.
  • Experience integrating CRM, ERP, billing, and other enterprise systems.
  • Experience building scalable data pipelines.
  • Strong understanding of data quality, governance, and integrity.
  • Experience translating business requirements into scalable data solutions.

Nice to Have
  • Experience with dbt (Data Build Tool).
  • Experience migrating ETL workloads to Snowflake-native architectures.
  • Experience with SAP Callidus.
  • Experience with Xactly.
  • Experience with CaptivateIQ.
  • Experience working with Sales Compensation or Incentive Compensation Management (ICM) platforms.
  • Experience supporting Revenue Operations or Sales Operations teams.
  • Experience with Snowflake Cortex.
  • Experience implementing AI-driven data workflows.
  • Experience working with Finance or Commission-related datasets.

Come join us in breaking the mold and revolutionizing the tech landscape!
You can also apply here:
Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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