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Internship Financial Data Engineer Jobs in Minnesota

Data Engineer

Eagan, MN ยท On-site

$116K - $140K/yr

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam ... healthcare or financial environment. Responsibilities - Design, build, and optimize robust ...

Data Engineer

Eagan, MN ยท On-site

$95 - $110/hr

Genesis10 is currently seeking a Data Engineer - Remote for a contract position with a Leading ... Previous experience in the healthcare, PBM, or financial services industries. If you have the ...

AWS Data Engineer

Minneapolis, MN ยท 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

Minneapolis, MN ยท On-site +1

$75.75 - $83.33/hr

Remote Data Analyst -Finance Data Platform Purpose: Support data validation, data reconciliation ... Strong communication and collaboration skills with the ability to work closely with engineering ...

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

Leadership Financial Reporting & Analytics , which serves as the centralized hub for financial ... Data engineers perform other duties as required, to meet team sprint goals REQUIRED SKILLS ...

Data Engineer Senior

Bloomington, MN ยท On-site

$51.85 - $77.77/hr

Leadership Financial Reporting & Analytics , which serves as the centralized hub for financial ... Data engineers perform other duties as required, to meet team sprint goals REQUIRED SKILLS ...

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

Leadership Financial Reporting & Analytics , which serves as the centralized hub for financial ... Data engineers perform other duties as required, to meet team sprint goals REQUIRED SKILLS ...

Data Engineer

Minneapolis, MN ยท 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 ...

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 ...

Engineer reusable DAX measures and KPI definitions; document metric logic and ensure alignment to Finance definitions and reporting standards * Build and maintain reliable data shaping pipelines (e.g ...

Data Engineer

Minneapolis, MN ยท On-site

$76/hr

Data Engineer Location: Minneapolis, MN. Chandler, AZ. Irving, TX Pay Rate: $76 Top Skills * 5+ ... layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K ...

Data Engineer: IV (Lead)

Minneapolis, MN ยท On-site

$119K - $143K/yr

Domain experience in agriculture, energy, supply chain, logistics, trading, hedging, finance, or ... Data Engineer: IV (Lead) Location: Remote Duration: Contract - 4 months Pay Range: 90-95/hr on w2 ...

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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 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 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 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 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 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

$116K - $140K/yr

Full-time

Posted 17 days ago


Job description

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data engineer. You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative team of nine data engineers. This is a rare opportunity to shape the future of our data platform, influence roadmap decisions, and play a key role in critical projects within a highly visible healthcare or financial environment. Responsibilities - Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL - Lead technical decision-making, set engineering standards, and ensure data quality and reliability across the platform - Guide and mentor junior and mid-level engineers through code reviews, technical support, and knowledge sharing - Collaborate closely with product owners and stakeholders to develop and execute data engineering strategy - Drive continuous improvement and innovation within the Rebate Data Warehouse ecosystem Required Skills and Experience - Hands-on experience with GCP Data Engineering tools: Google Cloud Storage, BigQuery, Looker Studio, Cloud Composer, Gsutil, Dataplex - Deep knowledge of Apache Beam and Apache Airflow - Strong proficiency in Python and SQL for data processing and transformation - Proven track record using GitHub in a collaborative environment - Experience in PBM, healthcare, or financial industry data environments - Flexibility, adaptability, and excellent communication skills Preferred Skills - Java familiarity or experience - Exposure to SnapLogic Benefits - Opportunity to drive strategy and influence technology direction - Leadership and mentorship opportunities to advance your career - Collaborative, supportive team culture - Exposure to cutting-edge cloud and data technologies How to Apply Ready to take the lead in data engineering and make a real impact? Submit your resume today to join our high-performing team!

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US