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Data Modernization Jobs in Minnesota (NOW HIRING)

Horizontal Talent

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a finance data platform modernization initiative. This role focuses on identifying variances between ...

ApplyLogic Consulting Group, LLC

Data Engineer

Virginia, MN · On-site

$110K - $132K/yr

Provide technical leadership for data migration, transformation, integration, and modernization initiatives. * Develop and implement strategies for monitoring data pipelines, database environments ...

Horizontal Talent

Data Intelligence Analyst

Eagan, MN · On-site +1

$22 - $46/hr

Support cloud and AI transformation efforts, including data platform modernization and adoption of responsible AI practices. Skills * Bachelor's degree in Computer Science, Data Science, Engineering ...

Hollstadt & Associates

Data Engineer

Bloomington, MN · On-site

$70 - $80/hr

Support modernization initiatives involving legacy manufacturing systems and databases, including movement from older platforms into SQL-based environments. * Prepare data structures that allow ...

Boston Scientific

Data Product Manager

Maple Grove, MN · On-site

Guide the modernization of existing data assets into cloud-native architectures using modern data stack technologies, including Snowflake, dbt, Adobe Experience Platform, Salesforce Data Cloud, and ...

Target

Lead Engineer - Modernization Team

Minneapolis, MN

$132K - $238K/yr

The Target Technology Modernization team is focused on transforming and replacing legacy systems by ... Gather information, data, and input from a wide variety of sources; identify additional resources ...

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

Guide the modernization of existing data assets into cloud-native architectures using modern data stack technologies, including Snowflake, dbt, Adobe Experience Platform, Salesforce Data Cloud, and ...

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

Guide the modernization of existing data assets into cloud-native architectures using modern data stack technologies, including Snowflake, dbt, Adobe Experience Platform, Salesforce Data Cloud, and ...

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Showing results 41-60

All JobsData Modernization JobsData Modernization Jobs in Minnesota

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Data Modernization jobs in Minnesota?

For Data Modernization jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Modernization jobs in Minnesota look for?

The top searched job categories for Data Modernization jobs in Minnesota are:

Infographic showing various Data Modernization job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer

East Bethel, MN • Remote

Horizontal Talent
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Horizontal Talentexternal

$41 - $78/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

Job description

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a finance data platform modernization initiative. This role focuses on identifying variances between legacy and modern systems, helping improve data quality, and supporting go-live readiness through clear analysis and collaboration across technical and business teams.

Responsibilities
  • Build and run queries to compare legacy and modern datasets and identify data variances.
  • Create reports and dashboards to highlight discrepancies, trends, and reconciliation results.
  • Support source-to-target reconciliation, duplicate detection, control total checks, and business rule validation.
  • Analyze mapping documents, reporting requirements, transformation logic, and data lineage to support validation efforts.
  • Document variances, root causes, exception findings, defect logs, and sign-off materials in partnership with stakeholders.
  • Collaborate with product, engineering, finance, business, and legacy system teams to resolve issues and support go-live decisions.
  • Assist with determining tolerance thresholds and readiness for parallel operations and production launch.
  • Contribute to iterative delivery in an agile environment, including sprint ceremonies and defect triage.
Skills
  • 5+ years of hands-on SQL experience with big data platforms or databases such as Google BigQuery, Hadoop, or similar tools.
  • Strong background in ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or comparable technologies.
  • Experience using Python and/or PySpark for data movement, analysis, and validation.
  • Proven experience in data analysis, data quality validation, and reconciliation across systems.
  • Ability to work with visualization and reporting tools such as Power BI, Looker, or LookML.
  • Strong communication and collaboration skills with the ability to work across technical and business teams.
  • Experience creating documentation that supports validation, issue tracking, and business approvals.
  • 5+ years working in a data analytics role.
  • 1–3 years of experience working on agile teams.
Preferred Skills
  • Experience in the retail industry, especially across finance, supply chain, merchandising, inventory, stores, sales, digital, product, or customer domains.
  • Familiarity with Google Cloud medallion data architecture and GCP-supported data processing tools.
  • Experience with SAP S/4 data structures and finance reporting.
  • Background supporting dashboard development, KPI reconciliation, and semantic layer validation.
  • Experience working in a modern data platform migration or parallel run environment.
  • Comfort working in a fast-paced, collaborative setting with evolving priorities.

Horizontal is committed to creating an inclusive environment where diverse perspectives are valued and everyone has the opportunity to thrive. We welcome candidates from all backgrounds and are dedicated to equity, belonging, and respect throughout the hiring process.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $41 - $78 per hour based on qualifications and experience.

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