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Internship Financial Data Engineer Jobs in Raleigh, NC

Data Analytics Engineer

Durham, NC

$110K - $132K/yr

Job Overview Skanska is searching for a dynamic Data Analytics Engineer. This is a great ... Compensation and financial well-being - Competitive base salary, excellent bonus program, 401k ...

... data entry, and email-driven coordination. * Develop business-process automations across functions such as engineering, NPI, operations, quality, supply chain, finance, and commercial teams. * Build ...

Senior SRE Engineer

Raleigh, NC · On-site

$55.50 - $73.75/hr

... financial data to third-party financial apps. If you are inspired and fascinated by innovative ... Platform Engineering owns the reliability, availability, and performance of our infrastructure and ...

New

General Engineering Internship

Raleigh, NC · On-site

$14.75 - $19.25/hr

... internships as well Why Hazen and Sawyer: * Founded in 1951 by the son of Allen Hazen (developer of ... Manage data for process modeling and design * Coordinate with manufacturers and vendors to select ...

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

... financial data and operational controls. Job Requirements Expertise in SQL, RESTful APIs, and ... Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code ...

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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 Jul 20, 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 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 Raleigh, NC? The most popular types of 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:
Infographic showing various Internship Financial Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,391 per year, or $24.7 per hour.
Managed Services - Senior Data Engineer - Senior Manager

Managed Services - Senior Data Engineer - Senior Manager

Pwc

Raleigh, NC

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 hours ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while fostering a diverse and inclusive team environment.
In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will validate outcomes with clients, share alternative perspectives, and act on client feedback. Your ability to navigate complexity and demonstrate composure in challenging situations will contribute to the success of our firm. This position offers the chance to deepen your skills and stay relevant in the ever-evolving field of data and analytics, making a significant impact on both client success and the growth of our practice.
Responsibilities
- Developing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
- Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
- Building and maintaining data pipelines and architectures to support business intelligence efforts -(DataStage, ETL)
- Implementing data visualization tools to provide actionable insights and improve client outcomes -(SQL Server, DB2)
- Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
- Coaching and motivating teams to solve complex problems and deliver quality results
- Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
- Validating outcomes with clients and acting on feedback to refine solutions -(CSAT and performance tuning)
- Directing teams through ambiguous and challenging situations with composure and sound judgment
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating advanced skills in data architecture development and data pipeline management
- Utilizing Python and Java for complex data analysis and visualization
- Excelling in business intelligence tools like QlikView and Oracle BI
- Leading strategic questioning and stakeholder engagement initiatives
- Applying systems thinking to identify and address underlying problems
- Directing teams through complex and ambiguous situations

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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