ZipRecruiter

Log In

1

Azure Adf Jobs in Minnesota (NOW HIRING)

previous page

Showing results 21-26

All JobsAzure Adf JobsAzure Adf Jobs in Minnesota

Azure Adf information

What is Azure ADF?

Azure ADF, or Azure Data Factory, is a cloud-based data integration service provided by Microsoft Azure. It allows you to create, schedule, and orchestrate data workflows and pipelines to move and transform data from various sources to data storage solutions or analytics platforms. Azure ADF supports data movement between on-premises and cloud data sources and provides rich data transformation capabilities using data flows or by integrating with other Azure services. It is commonly used for ETL (Extract, Transform, Load) processes, data migration, and data integration scenarios.

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

AspectAzure AdfAzure Data Engineer
CertificationsAzure Data Factory certifications, Azure certificationsAzure Data Engineer certifications, Azure certifications
Work EnvironmentCloud data integration and orchestration platformDesigning, building, and maintaining data pipelines in cloud and on-premises environments
Employer & Industry UsageUsed by organizations implementing cloud data workflowsUsed by companies managing large-scale data solutions and analytics

Azure Adf focuses on data integration and workflow automation using Azure Data Factory, while Azure Data Engineer handles designing and maintaining data pipelines across various platforms. Both roles require Azure certifications and are integral to cloud data management, but Azure Adf is more specialized in orchestration, whereas Azure Data Engineer covers broader data engineering tasks.

What are some common challenges faced by Azure Data Factory (ADF) developers during data pipeline implementation?

Azure Data Factory developers often encounter challenges such as managing complex data transformations, optimizing pipeline performance, and handling data integration across diverse sources. Debugging and monitoring pipeline failures can also be demanding, especially in large-scale, automated workflows. Collaborating with data engineers, data analysts, and cloud architects is essential to ensure smooth deployment and continuous improvement of data solutions. Staying up-to-date with ADF's evolving features and best practices can help overcome many of these challenges.

What are the key skills and qualifications needed to thrive as an Azure Data Factory (ADF) developer, and why are they important?

To thrive as an Azure Data Factory Developer, you need strong skills in data integration, ETL (Extract, Transform, Load) processes, and cloud data warehousing, often supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure SQL Database, and related tools such as Azure Data Lake, along with certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and stakeholders. These skills ensure seamless data pipeline development, efficient data management, and the successful delivery of cloud-based data solutions.
What are popular job titles related to Azure Adf jobs in Minnesota? For Azure Adf jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Azure Adf jobs in Minnesota look for? The top searched job categories for Azure Adf jobs in Minnesota are:
Azure Adf jobs near you
Infographic showing various Azure Adf job openings in Minnesota as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Data Support Analyst

Invictus Capital Partners

Bloomington, MN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

We are seeking a Data Support Analyst to support day-to-day data operations across our enterprise data environment. This role is ideal for a technically skilled professional with experience troubleshooting data issues, supporting business users, and collaborating with data engineering teams.

The primary focus of this role is managing and resolving data-related tickets, including investigating discrepancies, validating data, and coordinating resolutions with business and technical teams. In addition, the analyst will provide ad-hoc support to the Data Engineering team by assisting with pipeline monitoring, data validation, file transfers, and operational tasks across our Azure-based data platform.
Hybrid Work Environment: This role can be based in our Washington, DC or Bloomington, MN office. We believe collaboration drives innovation, so team members work together in the office four days per week, with one day each week working remotely. 
Data Ticket Support
  • Serve as the primary point of contact for data-related incidents, requests, and inquiries submitted through ServiceNow.
  • Investigate and resolve data discrepancies, missing records, reporting issues, and other operational data problems.
  • Work directly with business users to gather requirements, clarify issues, and communicate resolution status.
  • Document troubleshooting steps, resolutions, and recurring issue patterns to improve support processes and knowledge sharing.
  • Escalate complex issues to the Data Engineering team when root cause analysis indicates a pipeline, integration, or platform-level problem.
Data Operations & Quality Support
  • Perform routine data validation and quality checks to ensure accuracy, completeness, and consistency across key business datasets.
  • Assist in identifying recurring data quality issues and recommend process improvements or upstream controls.
  • Support monitoring of scheduled data loads and notify the appropriate teams of failures or anomalies.
  • Help maintain operational documentation, runbooks, and support procedures for common data issues.
Ad-Hoc Data Engineering Support
  • Assist the Data Engineering team with operational tasks such as validating data loads, reviewing pipeline outputs, and troubleshooting minor ETL issues.
  • Support secure file transfer (SFTP) processes and vendor data delivery workflows.
  • Help test and validate changes to data pipelines, reports, and integrations before deployment.
  • Participate in ad-hoc projects related to data cleanup, reporting support, and process automation.
  • Collaborate with engineers and analysts to ensure timely resolution of data-related production issues.
Collaboration & Communication
  • Act as a liaison between business teams, IT support, analytics, and data engineering.
  • Translate business data into actionable technical investigations.
  • Provide clear, professional communication regarding ticket status, findings, and next steps.
  • Contribute to continuous improvement efforts for data support workflows and service delivery.
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, or a related field preferred.
  • Equivalent combination of experience, coursework, or technical certifications may be considered in lieu of a degree.
  • 2-5 years of experience in data support, business systems support, reporting support, or a related technical role.
  • Experience working with ticketing systems such as ServiceNow strongly preferred.
Required Technical Skills
  • Strong SQL skills for querying, validating, and troubleshooting data issues.
  • Experience with ServiceNow incident/request management workflows.
  • Familiarity with relational databases such as SQL Server.
  • Understanding of ETL/data pipeline concepts and enterprise data flows.
  • Proficiency with Microsoft Excel and basic data analysis techniques.
  • Strong troubleshooting and problem-solving skills
Preferred Skills
  • Exposure to Azure Data Factory (ADF) and/or Databricks.
  • Experience with SFTP processes and file-based data exchanges.
  • Basic knowledge of Python or scripting for automation and data validation.
  • Experience supporting reporting or business intelligence environments.
  • Familiarity with data quality and monitoring practices.

Key Competencies: 
  • Data Analysis & Troubleshooting: Investigates data discrepancies, identifies root causes, and resolves data-related issues with accuracy and efficiency. 
  • SQL & Data Validation: Utilizes SQL and data validation techniques to ensure data integrity, accuracy, and consistency across enterprise systems. 
  • Technical Support & Service Management: Provides responsive support through ServiceNow, managing incidents and requests while delivering excellent customer service. 
  • Data Operations & Quality Management: Monitors data pipelines, validates data loads, and supports ongoing data quality and operational reliability. 
  • Cross Functional Collaboration: Partners effectively with business users, Data Engineering, IT, and Analytics teams to resolve issues and improve data processes.
  • Process Improvement & Documentation: Maintains support documentation, identifies recurring issues, and recommends process enhancements that improve efficiency and service delivery. 

How This Role Demonstrates Our Values: 
  • Integrity: Ensures the accuracy, reliability, and security of enterprise data while following established support and governance practices. 
  • Collaboration: Works closely with business partners, Data Engineering, IT, and Analytics teams to resolve issues and support business operations. 
  • Excellence: Delivers timely, high quality data support, maintains strong service levels, and contributes to reliable data operations. 
  • Critical Curiosity: Investigates root causes, identifies opportunities for automation and process improvement, and continuously expands technical knowledge to enhance data support capabilities.
  • Competitive compensation package, including base salary and performance-based bonus opportunities
  • 401(k) plan with 100% company match up to 4%
  • Comprehensive health coverage: medical, dental, vision, HSA, and FSA options
  • Generous paid time off: 20 days PTO, company holidays, and sick time
  • Paid parental leave
  • Company-paid life insurance and disability coverage
  • Employee Assistance Program (EAP): mental health, financial, and wellness support
  • Professional development: tuition reimbursement and growth opportunities
  • Commuter and transit benefits

Successful applicants will exemplify strong ethics, integrity, respect for others, accountability for decisions and actions, and good citizenship.
Maintaining a reliable, uninterrupted high speed internet connection is a requirement of hybrid or remote positions.
All job duties and responsibilities must be performed within the guidelines of the Verus Residential Mortgage Employee Handbook and established company policies and procedures. It is the responsibility of each employee to maintain confidentiality of the company, its clients and to follow applicable laws and regulations in the performance of duties.
Verus Mortgage Capital is an equal opportunity employer. All qualified applicants are welcomed to apply and will receive consideration for employment without unlawful discrimination because of a person's race, religious creed, color, national origin, citizenship status, ancestry, marital status, sex, age, or sexual orientation, or because of a person's disability or medical condition.

Apply