ZipRecruiter

Log In

1

Microsoft Azure Data Engineer Jobs in Minnesota (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsMicrosoft Azure Data Engineer JobsMicrosoft Azure Data Engineer Jobs in Minnesota

Microsoft Azure Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

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

As of Sep 5, 2026, the average yearly pay for microsoft 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 Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer is responsible for designing, implementing, and managing data solutions on the Azure cloud platform. They work with structured and unstructured data, building data pipelines, optimizing storage, and ensuring efficient data processing. Their role includes using Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to support business intelligence and analytics. They also ensure data security, compliance, and performance optimization.

What are the typical daily responsibilities of a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer usually spends their day designing, implementing, and maintaining data pipelines using Azure services to ensure the reliable flow and transformation of data. They collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver scalable solutions. Regular tasks might include optimizing database performance, troubleshooting data integration issues, writing code for data ingestion, and maintaining data security and compliance within the cloud environment. This multifaceted work environment offers varied challenges and opportunities for continuous learning and professional development.

What are the key skills and qualifications needed to thrive in the Microsoft Azure Data Engineer position, and why are they important?

To excel as a Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and cloud data services, usually validated by a computer science degree or similar field. Familiarity with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, attention to detail, and excellent communication skills help in collaborating with both technical and non-technical teams. These capabilities ensure efficient, secure, and scalable data solutions that meet business needs in dynamic enterprise environments.

Is a Microsoft Azure Data Engineer in demand?

Microsoft Azure Data Engineers are in high demand due to the increasing adoption of cloud data solutions and the need for managing large-scale data platforms. Skills in Azure data services, data modeling, and certifications like Azure Data Engineer Associate enhance job prospects in this field.

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

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

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

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

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

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

Microsoft Azure Data Engineer jobs near you
Infographic showing various Microsoft Azure Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 69% In-person, 15% Hybrid, and 16% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.

Senior Healthcare Data Modeler

Techvilla Solutions

Columbia Heights, MN • On-site

Full-time

Posted 2 days ago

New

Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

Apply