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Internship Financial Data Engineer Jobs in Minnesota

Veracity

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Data Engineer We are seeking an experienced Data Engineer to join our team and contribute to the ... Prior work in Finance or Banking domain is a plus.

Genesis10

Entry Level Data Engineer

Minneapolis, MN · On-site

$60K/yr

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

Genesis10

Databricks Data Engineer

Minnetonka, MN · Remote

$50 - $55/hr

The teams primarily focus on developing and maintaining finance and accounting data processing ... Ensure pipelines follow enterprise data engineering best practices for performance, scalability ...

JConnect Infotech

Data Engineer on Clouds

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Fulltime Data Engineer on Clouds 10+ years Exp • Proven experience in Financial Service (Banking + Payments) and Marketing supporting business intelligence, data sciences, data engineering, data ...

SHI GmbH

Sr. Data Engineer

Saint Paul, MN · On-site

$150K - $190K/yr

Health, wellness, and financial benefits to offer peace of mind to you and your family. * World ... The Senior Data Engineer will be responsible for the analysis, design, and development of solutions ...

NELSON

Data Engineer

Minneapolis, MN · On-site +1

$70K - $100K/yr

Data Engineer The Data Engineer will play a critical role in developing the data infrastructure ... data, finance/resourcing/reforecasting data, IoT/sensor data). * Build and optimize data ...

Apex Systems

Cloud Data Engineer

Minneapolis, MN · Remote

$60 - $65/hr

Job#: 3033812 Cloud Data Engineer Location: Remote Employment Type: Contract to Perm Role Overview ... layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K ...

RoundPoint Mortgage Servicing LLC

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

The Data Engineer will be responsible for developing and delivering data solutions, maintaining the ... with financial and/or mortgage servicing data but not mandatory • Experience in Azure Data ...

Braun Intertec

Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

The Data Engineer will ensure the efficient flow, management, and consumption of data across our ... Familiarity with D365 Financial and Operations, Project Operations and Customer Experience data ...

Two Harbors Investment Corp

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 * Experience in Azure ...

twoharbors

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 * Experience in Azure ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... Deloitte is a business consulting company that offers audit, consulting, financial advisory, and ...

W&M Environmental Group

Data Engineer

Bloomington, MN

$115.10K - $138.20K/yr

The Data Engineer willensurethe efficient flow,management, and consumptionof data across ... Familiarity with D365 Financial and Operations,Project Operations andCustomer Experiencedata ...

Frch Nelson

Data Engineer

Minneapolis, MN · On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... data, finance/resourcing/reforecasting data, IoT/sensor data). * Build and optimize data ...

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Internship Financial Data Engineer information

What are the key skills and qualifications needed to thrive as an Internship Financial Data Engineer, and why are they important?

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 types of projects and responsibilities can an Internship Financial Data Engineer expect during their internship?

As an Internship Financial Data Engineer, you can expect to work on projects involving data extraction, transformation, and loading (ETL) processes related to financial datasets. You may assist in developing pipelines to clean and aggregate data from multiple sources, contribute to building data models, and support the analytics team with data validation. Regular collaboration with data scientists, senior engineers, and financial analysts is common, providing valuable exposure to both technical and business aspects of finance. This hands-on experience not only strengthens your programming and data skills but also helps you understand how data drives decision-making in financial organizations.

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 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:
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What cities in Minnesota are hiring for Internship Financial Data Engineer jobs? Cities in Minnesota with the most Internship Financial Data Engineer job openings:
Internship Financial Data Engineer jobs near you

Senior Data Engineer on Cloud (Banking & Payments)

Purple Drive Technologies

Minneapolis, MN • On-site

$110.60K - $150.30K/yr

Full-time

Posted 6 days ago

Job description

Overview:
Senior Data Engineer on Cloud (Banking & Payments)
Location: Minneapolis, MN
Experience: 10+ Years
Domain: Financial Services (Banking + Payments)
Tech Stack: Cloud (AWS / Azure / GCP), Python, Jupyter, DataRobot (preferred)
About the Role
We are seeking a Senior Data Engineer on Cloud with 10+ years of experience to support high-impact initiatives within Banking and Payments. Based in Minneapolis, MN, this role partners with Business Intelligence, Data Science, Data Engineering, Data Products, Marketing Analytics, UX/CX Research, and Personalization teams to deliver scalable, cloud-based data solutions and enable advanced analytics and machine learning use cases.
Key Responsibilities
  • Design, build, and maintain cloud-based data pipelines and data products supporting BI, analytics, and ML use cases.
  • Collaborate with Domain Data Stewards and Data Product Owners to translate business needs into scalable data solutions.
  • Enable advanced analytics and ML workflows by preparing high-quality, reliable datasets.
  • Extract insights from domain-specific financial data and support model development.
  • Communicate insights and recommendations via dashboards, reports, visualizations, and presentations.
  • Analyze gaps between business requirements and existing systems; propose optimal functional solutions.
  • Demonstrate strong client management and leadership skills in cross-functional environments.
Must-Have Skills & Qualifications
  • 10+ years of experience in data engineering / analytics roles.
  • Strong Financial Services experience - Banking & Payments (mandatory).
  • Hands-on experience with Cloud platforms: AWS, Azure, or GCP.
  • Strong programming skills in Python; experience using Jupyter Notebook.
  • Solid foundation in data engineering: ETL/ELT, data pipelines, data modeling, data quality.
  • Ability to translate business requirements into data-driven solutions.
  • Excellent stakeholder communication and presentation skills.
Good-to-Have Skills
  • Experience with DataRobot or other AutoML tools.
  • Exposure to Marketing Analytics, Personalization, Web Content Publishing.
  • Support of UX Research, CX Analysis, and Market Research teams.
  • Familiarity with data governance and working with data stewards.

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