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Entry Level Etl Developer Jobs in Minnesota (NOW HIRING)

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Set up real-time data ingestion using tools like Spark Structured Streaming and batch ETL jobs for ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

New

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Set up real-time data ingestion using tools like Spark Structured Streaming and batch ETL jobs for ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

New

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) ...

... ETL orchestration data mapping error handling * Experience with Dell Boomi or any middlewareiPaaS Mulesoft Azure Integration Services Jitterbit SnapLogic etc * Experience with Azure DevOps for ...

Job Purpose and Impact An Application Developer is a professional responsible for supporting the ... ETL processes #HiPo Short Description Minnesota Sick and Safe Leave accruals of one hour for every ...

Job Purpose and Impact An Application Developer is a professional responsible for supporting the ... ETL processes #HiPo Short Description Minnesota Sick and Safe Leave accruals of one hour for every ...

Job Purpose and Impact An Application Developer is a professional responsible for supporting the ... ETL processes #HiPo Short Description Minnesota Sick and Safe Leave accruals of one hour for every ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... BI, DevOps, Databricks, and other associated technologies * Advanced knowledge of Amazon Web ... Experience with SSIS/Data Factory or other ETL tools * Familiarity with development methodologies ...

New

Showing results 21-40

Entry Level Etl Developer information

See Minnesota salary details

$31

$56

$79

How much do entry level etl developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for entry level etl developer in Minnesota is $56.20, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $62.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level ETL developer?

To thrive as an Entry Level ETL Developer, you should have a solid understanding of database concepts, SQL, and data processing, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and an understanding of data warehousing concepts are highly beneficial, as are relevant entry-level certifications. Attention to detail, strong problem-solving skills, and the ability to communicate effectively with technical and non-technical stakeholders will set you apart. These skills are essential for accurately transforming and integrating data to meet business needs while collaborating efficiently within a team.

What is an entry level ETL developer?

An Entry Level ETL Developer is responsible for designing, developing, and maintaining ETL (Extract, Transform, Load) processes to move data from various sources to a data warehouse or other storage systems. They work with databases, data mapping, and ETL tools like Informatica, Talend, or SQL Server Integration Services (SSIS). Their role includes ensuring data accuracy, optimizing performance, and troubleshooting ETL pipelines. Typically, they collaborate with data analysts, engineers, and business stakeholders to support data-driven decision-making.

What does an entry level ETL developer do?

As an Entry Level ETL Developer, your day-to-day tasks often include developing and testing ETL scripts, supporting data integration processes, and troubleshooting data issues under the guidance of senior team members. You may work closely with business analysts and database administrators to define data requirements and ensure data accuracy. Additionally, you’ll help maintain documentation for data flows and transformation logic, and participate in team meetings or code reviews. This collaborative environment is designed to help you learn best practices and develop your technical skills while contributing to key data projects.

What are the most commonly searched types of Etl Developer jobs in Minnesota? The most popular types of Etl Developer jobs in Minnesota are:
What are popular job titles related to Entry Level Etl Developer jobs in Minnesota? For Entry Level Etl Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Etl Developer jobs in Minnesota look for? The top searched job categories for Entry Level Etl Developer jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Etl Developer jobs? Cities in Minnesota with the most Entry Level Etl Developer job openings:
Infographic showing various Entry Level Etl Developer job openings in Minnesota as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $116,889 per year, or $56.2 per hour.

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Data Support Analyst
Department: Information Technology - Data & Reporting
Employment Type: Full Time
Location: Bloomington, MN
Reporting To: Application Support & IT Operations Manager
Compensation: $75,000 - $90,000 / year
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.
Responsibilities and Duties:
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.

Education and Experience:
  • 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.

Benefits
  • 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.