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Internship Financial Data Engineer Jobs (NOW HIRING)

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 ...

Staff Data Engineer

Austin, TX · On-site

$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 ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... financial data. This role involves working closely with Capital One's data, analytics, and ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

Motion is a company that focuses on providing financial business intelligence through modern data pipelines. The Data Engineer will develop and maintain ETL processes, ensuring accurate and ...

Senior Data Engineer

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 ...

Senior Data Engineer

Herndon, 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 ...

Senior Data Engineer

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 ...

Data Engineer

Charleston, SC · On-site

$160K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling ... Design and implement canonical data models across financial and operational datasets. * Write and ...

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling ... Design and implement canonical data models across financial and operational datasets. * Write and ...

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Internship Financial Data Engineer information

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

As of Jul 8, 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.
More about Internship Financial Data Engineer jobs
What cities are hiring for Internship Financial Data Engineer jobs? Cities with the most Internship Financial Data Engineer job openings:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
What states have the most Internship Financial Data Engineer jobs? States with the most job openings for Internship Financial Data Engineer jobs include:
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, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Data Engineer, Finance

Data Engineer, Finance

Genuine Parts Company

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago


Genuine Parts Company rating

6.8

Company rating: 6.8 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

225th of 358 rated retail wholesalers


Job description

SUMMARY:
Working within the Finance Data Team, the Data Engineer develops modern data pipelines inside of cloud-based data platforms to provide financial business intelligence and enable data-driven decision-making. The role partners closely with Finance leadership, Accounting, FP&A, Treasury, Tax, IT, and business stakeholders to deliver high-quality data solutions that improve reporting efficiency, strengthen controls, and support strategic initiatives. As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge between Finance and Technology, ensuring that financial data is accurate, accessible, and trusted across the organization.
This role requires a strong background in database design, with the primary focus on designing, developing, and maintaining ETL pipelines within cloud-based data platforms. This role reports to the Business Intelligence Manager inside of Finance and requires collaboration with both finance and IT teams to gather requirements and deliver solutions. A strong candidate will have a passion for data, analytical skills and Finance knowledge. This, coupled with the ability to leverage deep technical expertise, will allow for the efficient creation of accurate and actionable data sets.
JOB DUTIES
• Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs.
• Designs and manages data security frameworks, including role-level security (RLS) and permissions across Finance's Power BI workspaces, ensuring appropriate access controls aligned with Finance data governance requirements.
• Develops, and implements sematic layers for consumption in PowerBI dashboards and visualizations.
• Maintains data models optimized for finance use cases.
• Develops processes to monitor data integrity including reconciliation, and exception reporting.
• Collaborate with software developers and data scientists to support advanced analytics and AI initiatives.
• Ensures alignment of team objectives with business goals, coordinating with stakeholders in finance, accounting, and other departments.
• Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear, actionable format.
• Defines project scope, deliverables and timelines, ensuring on-time, high quality products.
• Continuously monitors emerging technologies and industry trends, ensuring the preservation of a competitive advantage while promoting the enhancement of organizational capabilities.
• Performs other duties as assigned.
EDUCATION & EXPERIENCE
• Requires a bachelor's degree in Computer Science, Information Systems, Data Engineering, Finance, Accounting or related field.
• At least five (5) years of experience in data engineering or related technical roles.
KNOWLEDGE, SKILLS, ABILITIES
• Strong SQL development and database design experience.
• Experience building ETL pipelines using modern data integration tools.
• Proficiency in Python, PySpark, Databricks or similar data engineering technologies.
• Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.
• Strong knowledge of data engineering principles, including experience with data warehousing, and big data technologies.
• Experience working with ERP and financial systems such as SAP, Oracle, Workday, or similar platforms.
• Strong analytical and problem-solving skills.
• Communication, presentation, and interpersonal skills, with the ability to convey complex concepts to diverse audiences.
• Proven track record of successful project management, including the ability to prioritize tasks, manage deadlines, and ensure the delivery of high-quality solutions.
• Industry-specific domain knowledge in Finance or Accounting, with an understanding of related processes and terminology is preferred.
• Experience with data visualization tools (Qlik, PowerBI, etc.) preferred.
LICENSES & CERTIFICATIONS: None Required.
SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility
BUDGET RESPONSIBILITY: No
COMPANY INFORMATION:
Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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