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Data Engineer Finance Jobs in California (NOW HIRING)

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

$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

$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 ...

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 ...

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 ...

Apple Inc.

Finance Data Engineer

Cupertino, CA · On-site

$146.30 - $244.10/hr

Cupertino, California, United States Corporate Functions The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for ...

AaraTechnologies Inc

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and ...

Whop

Data Engineer, Strategic Finance

Palo Alto, CA · On-site

$134K - $161K/yr

They are seeking a Data Engineer for Strategic Finance to build datasets and models that turn raw data into actionable insights, ultimately influencing decision-making across the organization.

Whop

Data Engineer, Strategic Finance

Palo Alto, CA · On-site

$200K - $300K/yr

About the Role We're hiring our first dedicated Data Engineer inside Strategic Finance, and the job is simple to state and hard to do well: make everyone at Whop smarter with the insights hidden in ...

Whop

Data Engineer, Strategic Finance

Palo Alto, CA · On-site

$200K - $300K/yr

About the Role We're hiring our first dedicated Data Engineer inside Strategic Finance, and the job is simple to state and hard to do well: make everyone at Whop smarter with the insights hidden in ...

Info Way Solutions

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

The role involves utilizing skills in SQL and Python within the banking or finance domain. Qualifications : Required : • 8-10 Years of experience • Skills: Data Engineer • Skills: SQL • ...

Factory

Software Engineer, Data

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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton

Data Engineer

San Diego, CA

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Numeric

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer Location: Sunnyvale, CA. Direct Client: Req. Key Qualifications: * Data Engineer ... sales and finance teams. * You will develop highly scalable data pipelines to load data from ...

Booz Allen Hamilton

Data Engineer

San Diego, CA

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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All JobsData Engineer Finance JobsData Engineer Finance Jobs in California

Data Engineer Finance information

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.

What are popular job titles related to Data Engineer Finance jobs in California?

For Data Engineer Finance jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Data Engineer Finance jobs?

Cities in California with the most Data Engineer Finance job openings:

Data Engineer Finance jobs near you
Infographic showing various Data Engineer Finance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer - Finance

San Francisco, CA • On-site

Weekday AI
See more jobs at Weekday AIexternal

$60 - $85/hr

Part-time

Re-posted 2 days ago

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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