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Internship Financial Data Engineer Jobs (NOW HIRING)

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Career Renew

Data Engineer

Boston, MA · Hybrid

$150K - $250K/yr

We equip Finance Teams at complex, sophisticated businesses to drive strategic decisions by ... About this role We are looking for a Data Engineer with ideally 3+ years of experience to design ...

VTG

Senior Data Engineer with Security Clearance

Chantilly, VA · On-site

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

Cypress HCM

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

The Financial Data Engineer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into financial metrics and customer journey.

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

SANS

AI/ML Developer with Data Engineering

Philadelphia, PA

$115K - $138K/yr

Title - Senior Data Engineer / AI Engineer (Agentic AI Platform Financial Data) Location: On-site 2-3 days hybrid URGENT Experience: 4 8+ years Type: Contracting About the Role RECRUITERS MUST RUN ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

V4C.ai

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United ... internships, co-ops, or academic projects with relevant tools count toward this). * Hands-on ...

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Carlyle

Data Engineer

Washington, DC · On-site

$160K - $200K/yr

Data Engineer Location: Washington, DC Line of Business: Data Science Job Function: Investor ... The role demands expertise in Python, deep familiarity with financial data sources, and the ability ...

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

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Internship Financial Data Engineer information

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$13

$25

$38

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

As of Jun 18, 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 big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer opportunities in areas such as audit, consulting, tax, and advisory, providing valuable experience for aspiring financial data engineers and other finance or technology roles.

Is $20 an hour good for an internship?

For a Financial Data Engineer internship, $20 an hour is generally considered competitive, especially for entry-level or early-stage roles. Internships often pay between minimum wage and $25 per hour, depending on location, company size, and required skills such as data analysis and programming. Factors like workload, learning opportunities, and industry standards should also be considered when evaluating pay.

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.

How to get a data engineer internship?

To secure a data engineer internship, candidates should have a strong foundation in programming languages like Python or Java, experience with data processing tools such as SQL and Apache Spark, and familiarity with cloud platforms like AWS or Azure. Building a portfolio of projects and obtaining relevant certifications can also improve chances, along with applying through company career portals or internship programs early in the academic year.

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 engineering jobs pay $500,000?

Senior financial data engineers or quantitative engineers in finance and technology sectors can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced skills in data modeling, programming, and financial analysis, often at large firms or hedge funds.

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.
More about Internship Financial Data Engineer jobs
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What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
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What job categories do people searching Internship Financial Data Engineer jobs look for? The top searched job categories for Internship Financial Data Engineer jobs are:
Internship Financial Data Engineer jobs near you
Infographic showing various Internship Financial Data Engineer job openings in the United States as of June 2026, with employment types broken down into 29% Full Time, 59% Part Time, 4% Temporary, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Finance Data Engineer

Finance Data Engineer

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 9 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent, and architecturally sound solutions that are aligned with business needs..This role requires working cross-functionally with business users, IS&T, data scientists and other engineers to develop and deploy data services and pipelines. An ability to acquire knowledge of Finance business processes is important..You will be working in an enterprise data warehouse and lakehouse environments to help identify and combine data in an efficient, scalable manner to help answer business questions.
• Work closely with data scientists, machine learning engineers, software engineers, and business partners to identify, capture, collect, load and format data from the external sources, internal systems and the data warehouse.• Develop, test, deploy, monitor, document and troubleshoot data pipelines and feature-ready datasets• Collaborate with other engineers to define and adopt best practices for translate finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows• Identify and review capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
5+ years of relevant Data Engineering experience Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required with five or more years of experience
Effective Python, shell and SQL programmerHands on experience with database design and architecture in cloud data warehouses (Snowflake) and lakehouse environments (s3)Ability to implement end to end encryption and decryption policies as part of sensitive data pipelines and semantic views or other data sourcesExperience with the data development lifecycle and its associated CI/CD and version control components and tooling (Jenkins, Git, Other)Exposure to cloud storage and orchestration tooling such as AWS and KubernetesExperience with streaming interfaces and pipelines a plusAbility to implement data and automation services via RESTful interfacesAppreciation for data quality and validation in every pipelineFinance and accounting process experience a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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