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

Enclipse Corp.

Azure Database Architect

Saint Paul, MN · On-site

$64.25 - $83.75/hr

The responsibilities will include designing, administering, maintaining, and securing data to ... This position also will provide mentorship to other architects and database engineers.

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Lead the migration of legacy ETL workloads (SAP Data Services, AWS SQL Server) into modern Azure ...

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Lead the migration of legacy ETL workloads (SAP Data Services, AWS SQL Server) into modern Azure ...

Epicor

Senior Data Ops Developer

Minneapolis, MN · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In ... Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability ...

Pwc

Data Strategy-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

GenAI Python Systems Engineer-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with Cloud based platforms such as AWS or Azure Requirements: * 5+ years of professional ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with Cloud based platforms such as AWS or Azure Requirements: * 5+ years of professional ...

Pwc

Data Governance- Manager

Minneapolis, MN

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Ziegler CAT

Data Engineer (On-Premise)

Minneapolis, MN · On-site

$95K - $118K/yr

Ziegler CAT has an opening for a Data Engineer to design, develop, maintain, and optimize Ziegler ... Experience with Microsoft Fabric, Azure Data Services, or comparable cloud-based data platforms.

Ziegler CAT

Data Engineer (On-Premise)

Bloomington, MN · On-site

$95K - $118K/yr

Ziegler CAT has an opening for a Data Engineer to design, develop, maintain, and optimize Ziegler ... Experience with Microsoft Fabric, Azure Data Services, or comparable cloud-based data platforms.

twoharbors

Data Engineer

Minneapolis, MN · On-site

$95K - $120K/yr

The Data Engineer will be responsible for a wide variety of tasks which include all aspects of the ... Experience in Azure Data Factory * Experience in Active Batch scheduling software * Experience in ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Eagan, MN

Azure Data Engineer information

See Eagan, MN salary details

$45.4K

$132.3K

$181K

How much do azure data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for azure data engineer in Eagan, MN is $132,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $140,200.00 per year, depending on experience, location, and employer.

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.

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 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.

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 infrastructure across industries.

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

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

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

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

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

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

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Eagan, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $132,278 per year, or $63.6 per hour.

Principal Consultant, Data Engineer - Minneapolis

Thought Logic Consulting

Minneapolis, MN • On-site

Full-time

Posted 19 days ago

Job description

Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.
***Candidates must currently reside in or live within a commutable distance to the Minneapolis Office/Twin Cities Metro ****
The Role
We are looking for a technically skilled and motivated Data Engineer with 5+ years of experience to join our growing Data & Analytics team in Minneapolis. In this role, you'll work closely with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients unlock insights from their data. You’ll be supported by experienced architects and consultants while having the opportunity to grow your technical and consulting skills in a collaborative, client-facing environment.

What You'll Do
  • Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue, or Palantir Foundry
  • Develop ETL/ELT processes to transform and prepare raw data for reporting, analytics, and downstream applications
  • Collaborate with team members and clients to gather requirements, integrate data sources, and ensure high data quality
  • Assist in the development and optimization of data models and cloud-based data platforms (e.g., Snowflake, Databricks, Redshift)
  • Support the creation of dashboards and data visualizations using tools like Power BI or Tableau
  • Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability
  • Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices
  • Learn and apply modern data engineering and cloud practices in a variety of industries and use cases

Who You'll Work With
  • A team of collaborative, experienced consultants focused on solving complex business problems through data
  • Clients across industries who are looking to modernize their data platforms and make more informed decisions
  • Colleagues who prioritize curiosity, humility, and hands-on problem-solving
    A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • Professional experience in data engineering, analytics, or a related technical role
  • Proficiency in SQL and working knowledge of Python or another scripting language
  • Hands-on experience with ETL/ELT processes and modern data tools such as Azure Data Factory, AWS Glue, Snowflake, or Databricks
  • Familiarity with cloud environments (AWS, Azure, Palantir Foundry or similar) and data modeling concepts
  • Understanding of data integration, quality, and performance tuning principles
  • Ability to work collaboratively on fast-paced projects with a mix of technical and non-technical stakeholders
  • Strong problem-solving and communication skills
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
  • Ability to legally work for any employer in the US without sponsorship
Bonus Points if You Have
  • Experience with tools like Apache Airflow, dbt, or Palantir Foundry
  • Familiarity with big data technologies such as Spark, Kafka, or Redshift
  • Exposure to dashboarding and visualization tools like Power BI or Tableau
  • Certifications in cloud platforms or data engineering technologies
  • Previous consulting firm experience

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake