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Internship Financial Data Engineer Jobs (NOW HIRING)

Moore & Van Allen

BI DATA ENGINEER

Charlotte, NC

$111K - $134K/yr

Working closely with Finance Systems, FP&A, IT, Business Intelligence, and firm stakeholders, you will enable reliable, automated reporting and advanced analytics that support strategic decision ...

Ryan Consulting Group

Data Engineer ETL

Charlotte, NC · On-site

$75K - $125K/yr

This role operates within a regulated financial services environment and partners closely with data ... Engineer and optimize Snowflake data models (tables, views, secure data shares) to support ...

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 ...

KORE1 Technologies

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 ...

KORE1 Technologies

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 ...

KORE1 Technologies

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 ...

Cliff Services Inc

Snowflake Data Engineer - DBT

Johnston, RI · On-site

$115K - $138K/yr

... financial data initiatives. Key Responsibilities * Design, develop, and optimize scalable data ... Mentor junior data engineers and conduct code/design reviews. * Collaborate with business analysts ...

Syndeo,-LL

Data Engineer

Carolina, PR · On-site

$60 - $80/hr

Syndeo's Data Science practice combines clinical and financial data into a single, automated view ... We are looking for a Data Engineer to build and operate the pipelines that make this possible ...

Compunnel

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

... stitching and financial data analysis. • Develop scalable data engineering solutions using Python, SQL, and AWS services. • Integrate and utilize AWS data services to support application ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/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 ...

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. * Exposure to Databricks, Spark, or large-scale data processing ...

Guidehouse Digital, LLC

Data Engineer

San Antonio, TX · On-site

$60 - $80/hr

Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.Exposure to Databricks, Spark, or large-scale data processing technologies.

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.

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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 Sep 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 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 are the key skills and qualifications needed to thrive as an internship financial data engineer?

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.

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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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Data Engineer with Python / SQL - Onsite (Fulltime)

The Dignify Solutions, LLC

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
The Dignify Solutions, LLC is seeking a Senior Data Engineer with strong programming experience in building ETL/ELT programs. The role involves developing production-ready data ingestion and processing pipelines using Python and SQL, with a focus on cloud-native solutions, particularly in Azure environments.
Responsibilities:
• A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL , Python and DBT.
• 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
• 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
• Strong hands-on experience with Airflow is preferable
• Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
• Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
• Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
• Strong experience in cloud-native data pipeline development, preferably on Azure.
• Background in banking/capital markets or financial data is a plus.
• Passionate about data observability, monitoring, and scalable data architecture
Qualifications:
Required:
• A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL, Python and DBT.
• 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
• 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
• Strong hands-on experience with Airflow is preferrable.
• Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
• Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
• Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
• Strong experience in cloud-native data pipeline development, preferably on Azure.
• Passionate about data observability, monitoring, and scalable data architecture.
Preferred:
• Background in banking/capital markets or financial data is a plus.
Company:
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains). Founded in , the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

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