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Senior Microsoft Azure Data Engineer Jobs in Rochester, MN

Ensure service availability, data integrity, and security during complex physical and virtual ... Microsoft Azure Solutions Architect Expert (AZ-305) * TESA Accreditation Requirements A bachelor ...

VDI Engineer - Ramstein

Rochester, MN · Hybrid

$124K - $143K/yr

VMWare VCP/Data Center Virtualization (or higher - Advanced Professional or Design Expert) * VMWare ... Microsoft Azure Solutions Architect Expert (AZ-305) * MCSA Server 2016 * MCSE Core Infrastructure ...

VDI Engineer - Ramstein

Rochester, MN · Hybrid

$124K - $143K/yr

VMWare VCP/Data Center Virtualization (or higher - Advanced Professional or Design Expert) * VMWare ... Microsoft Azure Solutions Architect Expert (AZ-305) * MCSA Server 2016 * MCSE Core Infrastructure ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Experience with Microsoft Azure or SharePoint preferred * Knowledge of statistical analysis or data ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Experience with Microsoft Azure or SharePoint preferred * Knowledge of statistical analysis or data ...

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

Responsibilities We are seeking a Senior Data Science Analyst (1.0 FTE). This individual will ... Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ...

SR Information Security Engineer

Rochester, MN · On-site

$104K - $141K/yr

The Senior Information Security Engineer is a senior-level technical position responsible for ... Experience with Azure, AWS, or Google Cloud security services. Knowledge of OWASP Top 10, DDoS ...

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Senior Microsoft Azure Data Engineer information

See Rochester, MN salary details

$82.3K

$128.4K

$177.9K

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

As of Sep 7, 2026, the average yearly pay for senior microsoft azure data engineer in Rochester, MN is $128,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $146,400.00 per year, depending on experience, location, and employer.

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What are the key skills and qualifications needed to thrive as a Senior Microsoft Azure Data Engineer, and why are they important?

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

What are popular job titles related to Senior Microsoft Azure Data Engineer jobs in Rochester, MN?

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

What job categories do people searching Senior Microsoft Azure Data Engineer jobs in Rochester, MN look for?

The top searched job categories for Senior Microsoft Azure Data Engineer jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Senior Microsoft Azure Data Engineer jobs?

Cities near Rochester, MN with the most Senior Microsoft Azure Data Engineer job openings:

Infographic showing various Senior Microsoft Azure Data Engineer job openings in Rochester, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,412 per year, or $61.7 per hour.

Senior Healthcare Data Modeler

Techvilla Solutions

Highland, MN • On-site

Full-time

Posted 4 days ago


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.