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Internship Financial Data Engineer Jobs in Minnesota

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 ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Onsite) Job Type: Contract Experience: Mid-to-Senior ... A background in financial services, especially brokerage, is a strong plus. Key Responsibilities

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable ... The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ...

Senior Data Engineer

Hopkins, MN · On-site

$107K - $146K/yr

At Sovos, we're building a world-class financial data platform to support a global tax compliance leader - and the Senior Data Engineer is the foundation it all runs on. In this role, you'll own the ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable ... The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ...

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable ... The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ...

Find competitive benefits from financial and education to well-being and beyond at JOIN TARGET AS A LEAD DATA ENGINEER - FINANCE TECHNOLOGY SOLUTIONS About Us: Working at Target means helping all ...

Now hiring for our Data Engineer cohort starting in November 2026. To apply, please submit a formal ... OR 12+ months of professional work experience in finance, healthcare, banking, insurance ...

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 ... Familiarity with financial and/or mortgage servicing data but not mandatory Preferred: * Experience ...

Sr. Data Engineer

Edina, MN · On-site

$125K - $165K/yr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of ... Full Suite of Medical Benefits * Long Term Financial Incentives - STOCK! * 401k with 3.5% Automatic ...

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Showing results 1-20

Internship Financial Data Engineer information

What does an internship financial data engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.

What are the key skills and qualifications needed to thrive as an internship financial data engineer?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

What is the difference between Internship Financial Data Engineer vs Financial Data Analyst?

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What are the most commonly searched types of Financial Data Engineer jobs in Minnesota?

The most popular types of Financial Data Engineer jobs in Minnesota are:

What are popular job titles related to Internship Financial Data Engineer jobs in Minnesota?

For Internship Financial Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Internship Financial Data Engineer jobs?

Cities in Minnesota with the most Internship Financial Data Engineer job openings:

Data Engineer

Horizontal Talent

East Bethel, MN • Remote

$41 - $78/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 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.