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Internship Financial Data Engineer Jobs in Raleigh, NC

Duke University

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of ... student, HR, finance, and research administration. * Implement standardized transformation ...

Deloitte

Project - Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Deloitte is a leading consulting firm, and they are seeking an experienced Data Engineer - Project ... Company : Deloitte is a business consulting company that offers audit, consulting, financial ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Integrate data from key AEC systems-including project delivery, documents, financials, scheduling ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Integrate data from key AEC systems-including project delivery, documents, financials, scheduling ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Integrate data from key AEC systems-including project delivery, documents, financials, scheduling ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh, North ... Integrate data from key AEC systems--including project delivery, documents, financials, scheduling ...

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team. The role involves ... financials, scheduling, and GIS/BIM-related sources--and develop repeatable onboarding patterns ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ... related financial activities and the rules and regulations of numerous self-regulatory ...

Fidelity Investments

Senior Data Engineer

Durham, NC

$102K - $139K/yr

... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ... related financial activities and the rules and regulations of numerous self-regulatory ...

SPC Mechanical

Financial Analyst

Wendell, NC · On-site

Utilize SQL, data query tools, and business intelligence platforms to extract, validate, and ... Experience in project-based accounting, construction, engineering, manufacturing, or other ...

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All JobsInternship Financial Data Engineer JobsInternship Financial Data Engineer Jobs in Raleigh, NC

Internship Financial Data Engineer information

See Raleigh, NC salary details

$13

$24

$37

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

As of Jun 27, 2026, the average hourly pay for internship financial data engineer in Raleigh, NC is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 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.
What are the most commonly searched types of Financial Data Engineer jobs in Raleigh, NC? The most popular types of Financial Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Internship Financial Data Engineer jobs in Raleigh, NC? For Internship Financial Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Internship Financial Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Internship Financial Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Financial Data Engineer jobs? Cities near Raleigh, NC with the most Internship Financial Data Engineer job openings:
Internship Financial Data Engineer jobs near you
Infographic showing various Internship Financial Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 65% Full Time, 33% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $51,391 per year, or $24.7 per hour.
AI Data Engineer

AI Data Engineer

Duke University

Durham, NC • On-site

$110K - $132K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

442nd of 541 rated colleges and universities

Job description

AI Data Engineer
Data Analytics Practice | Office of Information Technology
Be You.
The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and help shape the future of Duke's enterprise data platform. In this role, you'll build and evolve the data foundations that power analytics, reporting, and AI-driven applications across the university.
You'll work at the intersection of data engineering, analytics, and emerging AI use cases-partnering closely with AI engineers and analysts to ensure institutional data is secure, reliable, and ready for advanced insights. If you enjoy building scalable platforms, working across domains, and turning complex data ecosystems into trusted, reusable assets, this role offers the opportunity to make a broad and lasting impact.
Minimum Requirements
  • Bachelor's degree in computer science, engineering, information systems, or a related technical field, or an equivalent combination of education and experience.
  • Strong experience designing and building data platforms, including cloud-based data warehouse or lakehouse architectures.
  • Proficiency in Python and SQL, with experience developing production-grade data pipelines.
  • Hands-on experience with modern data stack tools such as dbt for transformations and Prefect, Airflow, or similar orchestration tools.
  • Solid understanding of data modeling approaches (e.g., dimensional modeling, star schema, data vault).

Preferred Qualifications
  • Experience supporting AI and ML data workloads, including unstructured data pipelines, embeddings, and integration with vector databases or search platforms.
  • Familiarity with data governance practices and tooling (metadata management, lineage, data quality frameworks).
  • Experience building shared data infrastructure, reusable frameworks, and self-service data access layers.
  • Exposure to containerization, CI/CD pipelines, and modern cloud architecture principles.
  • Master's degree in computer science, engineering, or a related discipline.

Other Requirements
  • This position is hybrid eligible. Must be available for 1-2 weekly meetings on-site in Durham, NC location.

Be Bold.
In this role, you will:
  • Design, build, and maintain Duke's core enterprise data platform, supporting analytics, reporting, and AI applications at scale.
  • Develop and manage scalable, reusable data pipelines that integrate data from institutional systems such as student, HR, finance, and research administration.
  • Implement standardized transformation frameworks to deliver high-quality, well-documented data models for downstream consumption.
  • Partner with AI engineers and analysts to enable AI-ready data infrastructure, including support for retrieval-augmented generation, embeddings, and unstructured data ingestion.
  • Establish platform standards, governance capabilities, and best practices, including metadata management, data quality monitoring, security controls, and performance optimization.

Choose Duke.
At Duke University, data is a strategic asset-and the Data Analytics Practice plays a central role in enabling insight, innovation, and informed decision-making across the institution. As part of the Office of Information Technology, you'll collaborate with a diverse group of technologists and stakeholders who are committed to excellence, inclusion, and discovery.
You'll have the opportunity to work on highly visible, enterprise-scale initiatives while helping shape modern data and AI capabilities in higher education. Duke offers a collaborative culture, meaningful work with real-world impact, and a competitive benefits package designed to support your professional growth and personal well-being.
Learn more about Duke University's benefits https://hr.duke.edu/benefits/.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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