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Azure Data Engineer Jobs in Shakopee, MN (NOW HIRING)

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Power BI Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

New

Power BI Data Engineer

Minneapolis, MN ยท On-site

$105K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Data Engineer - Senior Associate

Minneapolis, MN ยท On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Data Engineer - Hybrid

Minneapolis, MN ยท On-site

$121K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop and maintain containerized Python jobs on Azure Container Apps for API extraction workloads ... years of data engineering experience with your own code running in production, including ...

Sr. Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote ... AWS/GCP acceptable) Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent Object storage-based ...

Azure Database Engineer

Saint Paul, MN ยท On-site

$115K - $138K/yr

Experience coding and testing data load programs using Azure data load utilities * Strong ... Mentor Database Engineers and provide technical guidance. Important Notes * Remote or Hybrid work ...

The ideal candidate will have strong expertise in Azure SQL, Azure Data Lake, Azure Databricks ... engineering, cloud migration, and enterprise data platform experience are encouraged to apply.

Data Engineer Senior

Bloomington, MN ยท On-site

$115K - $138K/yr

  • Medical

  • Retirement

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

Data Engineer Senior

Bloomington, MN ยท On-site

$115K - $138K/yr

  • Medical

  • Retirement

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

Azure Database Engineer

Saint Paul, MN ยท On-site

$55.75 - $69/hr

Azure Database Engineer (Level 1 & 2) Duration: 12 months Location: Saint Paul, MN - Hybrid Locals ... Ensure data access patterns are optimized. * Maintain necessary documentation. * Coordinate with ...

Data Engineer Senior

Bloomington, MN ยท On-site

$51.85 - $77.77/hr

  • Medical

  • Retirement

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

Showing results 21-40

Azure Data Engineer information

See Shakopee, MN salary details

$47.6K

$138.7K

$189.7K

How much do azure data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for azure data engineer in Shakopee, MN is $138,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $147,000.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.

What are popular job titles related to Azure Data Engineer jobs in Shakopee, MN?

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

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

The top searched job categories for Azure Data Engineer jobs in Shakopee, MN are:

What cities near Shakopee, MN are hiring for Azure Data Engineer jobs?

Cities near Shakopee, MN with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Shakopee, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $138,657 per year, or $66.7 per hour.

Power BI Data Engineer

Legence

Minneapolis, MN โ€ข On-site, Remote

$120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

About Legence
Legence (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systemsโ€”enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the worldโ€™s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.

Position Overview: We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven dashboards that transform complex data into clear, actionable intelligence. This role is expected to interact directly with end users regarding requirements, testing, and implementation. This position is remote with preference to align to one of Legenceโ€™ s office locations.

Key Responsibilities

Power BI Development & Visualization

  • Create sophisticated, visually stunning Power BI dashboards and reports that drive business decisions
  • Develop advanced DAX calculations, measures, and calculated columns to support complex analytical requirements
  • Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features
  • Implement dynamic report features including bookmarks, parameters, field parameters, and dynamic formatting
  • Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding

Data Engineering & Architecture

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory
  • Develop and optimize data models using star schema, snowflake schema, and other dimensional modeling techniques
  • Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms
  • Write and optimize complex SQL queries, stored procedures, and database functions for performance and efficiency
  • Establish data governance frameworks, including data quality checks, validation rules, and documentation standards

Technical Implementation

  • Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control
  • Implement row-level security (RLS) and object-level security (OLS) for data protection
  • Optimize report performance through query optimization, data model refinement, and DAX tuning
  • Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platforms
  • Automate data refresh schedules and monitor gateway configurations

Required Qualifications

Technical Skills

  • 3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server)
  • Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language)
  • Strong SQL skills with experience in database design, query optimization, and performance tuning
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles
  • Experience with data visualization best practices and UI/UX design principles
  • Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric)

Data & Analytical Expertise

  • Deep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional)
  • Strong grasp of statistical concepts and analytical methodologies
  • Ability to translate complex business requirements into technical data solutions
  • Experience with data quality assessment and data profiling

Professional Competencies

  • Proven ability to create visually compelling, executive-level dashboards and reports
  • Strong problem-solving skills with a hands-on, solution-oriented approach
  • Excellent communication skills to explain technical concepts to non-technical stakeholders
  • Detail-oriented with commitment to code quality and documentation
  • Demonstrated ability to use AI and automation in software engineering

Preferred Qualifications

  • CS or CIS bachelor \'s degree
  • Microsoft certifications: PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)
  • Experience with Python or R for advanced analytics integration
  • Familiarity with Git/Azure DevOps for version control and CI/CD pipelines
  • Knowledge of DAX Studio, and other Power BI development tools
  • Experience with Power BI Embedded or custom API development
  • Understanding of data science concepts and predictive analytics

Technical Environment

  • Power BI Desktop, Power BI Service, Power BI Premium/Fabric
  • SQL Server, Azure SQL Database, Azure Synapse Analytics
  • Azure Data Factory, Azure Data Lake Storage
  • DAX Studio, Tabular Editor, Power Query
  • Git/Azure DevOps for version control

What Makes You Stand Out

  • Portfolio of impressive Power BI dashboards demonstrating design excellence and technical complexity
  • Track record of optimizing poorly performing reports and data models
  • Experience mentoring others in Power BI development and best practices
  • Contributions to the Power BI community (blog posts, speaking engagements, open-source projects)

This is a hands-on technical role requiring daily interaction with data, code, and visualization design. The ideal candidate thrives in environments where they can build solutions from the ground up and take ownership of the entire BI development lifecycle.

Base salary: $105,000โ€“$120,000 per year. This role may be eligible for participation in discretionary bonus plan based on company and individual performance.
Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range. Hiring bonuses (and any guaranteed year-end bonuses) are administered under Company policy and are not earned until all stated conditions are met (e.g., active employment on the payment date). This posting reflects compensation at the time of posting and may be updated.

Unable to provide sponsorship for this position. 
#LI-JS1 #LI-Remote

Benefits Overview
401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting. 
Health & Welfare Benefits: Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage. 
Life and Disability Insurance: Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage.
Time Off: Flexible non-accrual vacation; company holidays per policy. (For California employees, this is separate from California paid sick leave, if applicable.)
Expenses: Business travel and related expenses reimbursed per company policy.

Reasonable Accommodations
If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number.

Employment Eligibility
Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position.

Third-Party Recruiting Disclaimer
Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC\'s CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence.

Pay Disclosure & Considerations
Where pay ranges are indicated, please note that a successful candidateโ€™s exact pay will be determined based relevant job-related factors, including any of the following: candidateโ€™s experience, skills, and qualifications, as well as geographic and market considerations.  We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws. 

Equal Employment Opportunity Employer
Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations.
EEO is the Law