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Azure Data Factory Jobs in Minnesota (NOW HIRING)

Legrand AV, Inc.

Azure Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

Azure Data Factory (ADF) * Azure Fabric * Azure SQL Database / Data Warehouse * Strong experience with Azure Integration Services: * Logic Apps, Function Apps, Service Bus, Event Grid, API Management

Purple Drive Technologies

MS Fabric

Minneapolis, MN · On-site

$51.50 - $70.50/hr

Azure Data Factory (ADF) * ETL/ELT Development * Python & PySpark * SQL & Spark SQL * Data Warehousing * Power BI Reports & Semantic Models * CI/CD, Git Version Control Key Responsibilities: * Design ...

Navtech, Inc.

Azure Data Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

I have an opportunity for " Azure Data Engineer " and looking for a candidate who can join ... Strong in working with Data Factory/ Data bricks and an understanding of logs and how they impact ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks * Perform data analysis activities including source data analysis, data profiling, and data mapping ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks * Perform data analysis activities including source data analysis, data profiling, and data mapping ...

Tata Consultancy Service Limited

Data bricks

Minnetonka, MN · On-site

$100K - $130K/yr

Must Have Technical/Functional Skill Design, develop, and implement data pipelines and ETL processes using Azure services, with a focus on Azure Databricks, Azure Data Factory (ADF), Azure Functions ...

Genesis10

Data Migration Engineer - Hybrid

Lakeville, MN · Hybrid

$75 - $85/hr

The ideal candidate will have strong experience in ETL/ELT, cloud data platforms like Snowflake and Azure Data Factory, and data modeling within an agile environment. This position plays a critical ...

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

HealthPartners

Data Engineer Principal

Bloomington, MN · On-site

$115K - $138K/yr

Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. * Expert in event streaming tools like NiFi, Kafka and Flink * Expert in ...

HealthPartners

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. * Expert in event streaming tools like NiFi, Kafka and Flink * Expert in ...

HealthPartners

Data Engineer Principal

Bloomington, MN · On-site

$39.89 - $55.55/hr

Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. * Expert in event streaming tools like NiFi, Kafka and Flink * Expert in ...

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How much do azure data factory jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for azure data factory in Minnesota is $57.20, according to ZipRecruiter salary data. Most workers in this role earn between $51.78 and $64.28 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals with skills in this tool are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related Azure services enhances job prospects in data engineering and analytics roles.

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

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, enabling efficient data processing and analytics. Knowledge of data integration, ETL processes, and familiarity with Azure environment are important for working with Azure Data Factory.
What are popular job titles related to Azure Data Factory jobs in Minnesota? For Azure Data Factory jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Minnesota look for? The top searched job categories for Azure Data Factory jobs in Minnesota are:
Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Minnesota as of June 2026, with employment types broken down into 4% As Needed, 63% Full Time, 25% Part Time, 4% Temporary, and 4% Nights. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $118,975 per year, or $57.2 per hour.

ETL QA Lead - Azure Data

Prophecy Technologies

Minneapolis, MN • On-site

$134K/yr

Full-time

Posted 9 days ago

Job description

Job Summary
We are seeking a highly skilled and detail-oriented ETL QA Tester with strong experience in Azure Data Platforms to lead quality assurance efforts for data integration, migration, and transformation initiatives. The role focuses on ensuring data accuracy, consistency, and reliability across enterprise systems while collaborating with cross-functional teams to deliver high-quality data solutions.
Experience
6+ Years overall ETL/Data QA experience
Minimum 2+ Years in Lead or Senior QA role
Key Responsibilities
  • Lead and manage the QA process for ETL and data warehouse projects
  • Design, document, and execute comprehensive test strategies, test plans, and test cases for ETL workflows
  • Perform detailed data validation, reconciliation, and transformation testing across multiple data sources
  • Validate data pipelines built using Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics
  • Collaborate with Data Engineers, Developers, and Business Analysts to identify, troubleshoot, and resolve data quality issues
  • Conduct functional, regression, and performance testing for ETL processes
  • Ensure adherence to QA best practices, automation standards, and defect management processes
  • Develop and maintain automated data validation scripts using SQL, Python, or similar tools
  • Prepare detailed test reports, defect logs, and QA metrics for stakeholders
  • Provide technical guidance and mentorship to junior QA team members

Required Skills & Experience
  • Strong experience in ETL Testing and Data Warehouse Testing
  • Hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake
  • Expertise in SQL for complex data validation and data profiling
  • Working knowledge of ETL tools such as Informatica, SSIS, or Talend
  • Experience with data testing automation frameworks and scripting languages (Python preferred)
  • Exposure to CI/CD pipelines and version control tools such as Azure DevOps, Git, Jenkins
  • Good understanding of data modeling concepts, data governance, and data quality frameworks

Competencies
  • Leadership and team coordination
  • Strong attention to detail and quality assurance mindset
  • Excellent analytical and problem-solving skills
  • Effective collaboration in Agile and cross-functional environments

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