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Data Engineer Finance Jobs (NOW HIRING)

Weekday AI

Data Engineer - Finance

Bellevue, WA · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. * Own end-to-end data quality by identifying ...

Weekday AI

Data Engineer - Finance

New York, NY · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. * Own end-to-end data quality by identifying ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. * Own end-to-end data quality by identifying ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. * Own end-to-end data quality by identifying ...

Oura

Senior Data Engineer - Finance

San Francisco, CA · On-site

$124K - $169K/yr

We are looking for a Data Engineer - Finance to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data infrastructure that powers Oura's financial data ...

Ōura

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$124K - $169K/yr

We are looking for a Data Engineer - Finance to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data infrastructure that powers Oura's financial data ...

Target

Lead Data Engineer - Finance Tech

Minneapolis, MN · On-site

$132K - $238K/yr

Find competitive benefits from financial and education to well-being and beyond at JOIN TARGET AS A LEAD DATA ENGINEER - FINANCE TECHNOLOGY SOLUTIONS About Us: Working at Target means helping all ...

Vercel

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$170K - $260K/yr

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our Finance stakeholders depend on. Vercel's revenue model combines subscription ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

VTG

Enterprise Data Engineer

Chantilly, VA

$118K - $142K/yr

Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience. * 3+ years of experiencein data engineering. * Strong proficiency in ...

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 ...

Factory

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You'll architect and evolve the full data stack, designing the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes. * Data engineering exposure: pipelines, transformations, data modeling concepts ...

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Data Engineer Finance information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer finance jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer finance in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a data engineer in finance do?

A Data Engineer in Finance is responsible for designing, building, and maintaining data pipelines and architectures that support the collection, storage, and analysis of financial data. They ensure that financial institutions have reliable access to accurate and timely data for analytics, reporting, and regulatory compliance. Their work often involves integrating data from multiple sources, optimizing data workflows, and collaborating with data scientists and analysts to deliver actionable insights. Data Engineers in Finance play a crucial role in enabling data-driven decision-making while ensuring data security and integrity.

What are the key skills and qualifications needed to thrive as a data engineer in finance?

To thrive as a Data Engineer in Finance, you need expertise in data modeling, ETL processes, and a strong foundation in SQL, Python, or Scala, often supported by a degree in computer science, information systems, or a related field. Familiarity with financial data platforms, cloud services (like AWS or Azure), and tools such as Apache Spark, Hadoop, and relevant data security certifications is common. Collaboration, attention to detail, and strong problem-solving skills are standout soft skills for this role. These abilities ensure reliable data pipelines, compliance with financial regulations, and actionable insights that support critical business decisions.

How does a data engineer in finance typically collaborate with analysts and other stakeholders to ensure data reliability and compliance?

Data Engineers in Finance work closely with data analysts, business intelligence teams, and compliance officers to design pipelines that deliver accurate, timely, and compliant data. Regular communication is essential to understand reporting requirements, data quality standards, and regulatory constraints. They often participate in cross-functional meetings to prioritize tasks, resolve data discrepancies, and implement controls that meet both business and legal needs. This collaboration ensures that data products not only support decision-making but also adhere to financial industry regulations.

What is the difference between Data Engineer Finance vs Data Analyst Finance?

AspectData Engineer FinanceData Analyst Finance
Primary RoleBuilds and maintains data pipelines, infrastructure, and databases for financial dataAnalyzes financial data to generate reports and insights
Skills & CertificationsSQL, Python, ETL tools, cloud platforms, data modelingExcel, SQL, data visualization tools, basic scripting
Work EnvironmentData engineering teams, IT departments, cloud environmentsFinance teams, business units, reporting platforms
Industry UsageUsed across financial institutions for data infrastructureUsed for financial reporting and decision-making

Data Engineer Finance focuses on creating and managing the data infrastructure necessary for financial data processing, while Data Analyst Finance interprets this data to provide actionable insights. Both roles are essential in financial organizations but serve different functions within the data ecosystem.

More about Data Engineer Finance jobs

What cities are hiring for Data Engineer Finance jobs?

Cities with the most Data Engineer Finance job openings:

What states have the most Data Engineer Finance jobs?

States with the most job openings for Data Engineer Finance jobs include:

What job categories do people searching Data Engineer Finance jobs look for?

The top searched job categories for Data Engineer Finance jobs are:

Data Engineer Finance jobs near you
Infographic showing various Data Engineer Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Finance

Weekday AI

Bellevue, WA • On-site

$60 - $85/hr

Part-time

Re-posted yesterday

Job description

This role is for one of our clients

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers its finance operations. You'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. This is a 6-month, full-time onsite contract with the possibility of extension based on performance and business needs.

Location: Onsite - San Francisco, CA / New York, NY / Bellevue, WA

Requirements

Key Responsibilities
  • Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely financial data processing.
  • Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
  • Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions.
  • Own end-to-end data quality by identifying, investigating, and resolving pipeline issues efficiently.
  • Improve the reliability, scalability, and performance of data workflows supporting finance operations.
  • Contribute to architecture discussions and recommend best practices for data engineering and pipeline optimization.
  • Document workflows, data models, and engineering processes to ensure maintainability and knowledge sharing.
Requirements
  • 2-4 years of professional experience as a Data Engineer.
  • Strong hands-on experience with PySpark and distributed data processing frameworks.
  • Advanced SQL skills with experience writing efficient, production-grade queries.
  • Experience building, maintaining, and optimizing large-scale ETL/data pipelines.
  • Ability to work independently while collaborating effectively across cross-functional teams.
  • Bachelor's degree in Computer Science or a related technical discipline.
  • Excellent written and verbal communication skills.
  • Willingness to work onsite full-time.
Preferred Qualifications
  • Experience supporting finance, accounting, or enterprise business data platforms.
  • Familiarity with cloud-based data infrastructure and modern data engineering best practices.
  • Strong analytical and problem-solving abilities with attention to data accuracy.
  • Experience working in fast-paced, high-growth technology environments.
Role Details
  • Employment Type: Independent Contractor
  • Duration: 6-month contract with potential extension
  • Work Arrangement: Full-time, Onsite
  • Locations: San Francisco, CA / New York, NY / Bellevue, WA

Note: This is a hands-on data engineering position focused on building and maintaining production data infrastructure. It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a full-time onsite engagement.
  • Projects may be extended, shortened, or concluded early based on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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