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Internship Financial Data Engineer Jobs (NOW HIRING)

Equifax, Inc.

Financial Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

As the Financial Data Engineer, you will be instrumental in designing and developing frameworks for supporting data solutions at scale with minimal friction moving from prototype to production. You ...

MSCI

Financial Data Engineer

Norman, OK · On-site

$93K - $121K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

MSCI

Financial Data Engineer

Norman, OK

$93K - $121K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

MSCI

Financial Data Engineer

Norman, OK

$93K - $121K/yr

Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience * 3-5 years of experience in any/all ...

BirdEye Inc

Senior Financial Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

We are looking for a Senior Financial Data Engineer who will become the technical backbone of our global finance team. This is not a traditional data engineering role. It is not a pure finance role ...

Appodeal

Financial Data Analyst

Parkland, FL

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and transformations, - ensure correct data mapping and lineage. * Maintain and improve the financial ...

Root Inc.

Staff Data Engineer, Financial Data Operations

$117K - $140K/yr

The Opportunity We are looking for a Staff Data Engineer to join our Data Platform team to drive financial data operations at Root, including commissions payments, incentive programs, and other ...

Appodeal

Financial Data Analyst

Parkland, FL · On-site

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and transformations, - ensure correct data mapping and lineage. * Maintain and improve the financial ...

AaraTechnologies Inc

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and ...

AaraTechnologies Inc

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and ...

McKesson

Data Engineer, Finance Data & BI

Richmond, VA · Hybrid

$130K - $140K/yr

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Big Data Engineer Location: Charlotte, NC (onsite) Duration : 12 months ext. Job Type: W2 contract ... Implement data governance and quality frameworks for financial data * Collaborate with data ...

McKesson

Data Engineer, Finance Data & BI

Richmond, VA · Hybrid

$130K - $140K/yr

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Learn more about Jane Street's internship program here. About You We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

Learn more about Jane Street's internship program here. About You We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking ...

Genuine Parts Company

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... to provide financial business intelligence and enable data-driven decision-making. The role ... As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge ...

Self Financial

Staff Data Engineer

Austin, TX

$160K - $195K/yr

As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to ...

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How much do internship financial data engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for internship financial data engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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.
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Internship Financial Data Engineer jobs near you
Infographic showing various Internship Financial Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Financial Data Engineer

Financial Data Engineer

Equifax, Inc.

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Workforce Solutions Finance is a high-energy, fast-growing organization within Equifax charged with building and supporting best-in-industry financial insights and analytical solutions. We deliver solutions and insights to enable success for our customers, drive growth for our business, and create value for our shareholders.
As the Financial Data Engineer, you will be instrumental in designing and developing frameworks for supporting data solutions at scale with minimal friction moving from prototype to production. You will own all Workforce Solutions Financial data elements, curating an optimized environment to drive Financial insights that move the business forward. Through interactions with Data Stewards, Data Scientists, IT, and Analysts, the Financial Data Engineer will review and recommend WS Finance's strategy utilizing GCP tools and data storage.
This role requires being in the office 3 days/week on Tues - Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do
  • Assist in the design and implementation of the Equifax Workforce Solutions Finance data models in GCP
  • Participate in the development of strategies, standards, and best practices in the areas of data access and integration within GCP
  • Create recommendations for increasing data utilization based on understanding of the data delivery environment
  • Partner with Technology, Security, Data Governance, and IT Operations to facilitate and accelerate the movement of key Financial data assets to GCP
  • Stay current with rapidly developing GCP technologies landscape and share knowledge with team
  • Support the technology roadmap and architectural discussions, translating high-level business vision into scalable engineering deliverables within an Agile framework
  • Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency
  • Execute rigorous software development activities, including unit testing and code deployment, while reviewing unfamiliar code within a shared codebase to ensure codebase health by completing code review, refinement and optimization
  • Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the existing data strategy and to optimize the output of the Finance organization
  • Partner with governance and compliance professionals to ensure the ethical and legal use of data assets and maintain precise lineage tracking
  • Collaborate with IT Centers of Excellence (COEs) to refine ETL toolsets, ensuring continuous improvements in cycle time and system performance
  • Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving data capabilities
  • Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues, completing a root cause analysis and implementing solutions to resolve the identified issue in both the short and long-term
  • Support the technology roadmap and architectural discussions, translating high-level business vision into scalable engineering deliverables within an Agile framework
  • Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency
  • Execute rigorous software development activities, including unit testing and code deployment, while reviewing unfamiliar code within a shared codebase to ensure codebase health by completing code review, refinement and optimization
  • Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the existing data strategy and to optimize the output of the Finance organization
  • Partner with governance and compliance professionals to ensure the ethical and legal use of data assets and maintain precise lineage tracking
  • Collaborate with IT Centers of Excellence (COEs) to refine ETL toolsets, ensuring continuous improvements in cycle time and system performance
  • Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving data capabilities
  • Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues, completing a root cause analysis and implementing solutions to resolve the identified issue in both the short and long-term
What experience you need
  • Bachelor degree in Computer Science, Information Systems, Statistics, Economics, or equivalent quantitative field with heavy emphasis on programming
  • 5+ years of experience in building, loading, transforming, and analyzing data within and across database platforms and other data stores is required
  • 5+ years of experience working in GCP or a similar cloud environment
  • 5+ years of scripting/coding experience
  • Proficiency in one or more to the following languages / tools: Python, SQL, BigQuery, Airflow / Cloud Composer

What could set you apart
  • Experience with data visualization tools such as Tableau / Looker / Spotfire

#LI-Hybrid
#LI-SM1
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-St. Louis-Clayton
Function:
Function - Data and Analytics
Schedule:
Full time

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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