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Financial Data Engineer Jobs in California (NOW HIRING)

Vercel

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$170K - $260K/yr

If you want your work to directly shape how the business understands its revenue and financial ... About You: * 4+ years of experience in data engineering, analytics engineering, or a closely ...

Lendingclub Corporation

Lead Data Engineer

San Francisco, CA · On-site

$120K - $159K/yr

As a Lead Data Engineer, you'll lead the Financial Data Operations team, owning the pipelines that support month-end close, investor servicing, revenue recognition, and other high-impact processes ...

Parafin

Finance Data Lead

San Francisco, CA · On-site

$210 - $250/hr

Partner with Engineering and Data teams to ensure financial data is correctly structured, accessible, and well-governed * Maintain data integrity standards -- building in checks, reconciliation logic ...

Parafin, Inc

Finance Data Lead

San Francisco, CA · On-site

$210K - $250K/yr

Partner with Engineering and Data teams to ensure financial data is correctly structured, accessible, and well-governed * Maintain data integrity standards - building in checks, reconciliation logic ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0247987 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$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 · On-site

$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 ...

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 · On-site

$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 ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$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 ...

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 ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

R0246048 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Sadient

Data Engineer (Senior)

San Francisco, CA · On-site

$160 - $260/hr

You will work on high-integrity financial data systems where correctness, auditability, and ... Redis Bonus Skills Experience in financial technology Full-stack engineering capabilities with ...

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Jobs in California

Financial Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do financial data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for financial data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a financial data engineer?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What does a financial data engineer do?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

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

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

What are the most commonly searched types of Financial Data Engineer jobs in California?

The most popular types of Financial Data Engineer jobs in California are:

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

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

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

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

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

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

Financial Data Engineer jobs near you
Infographic showing various Financial Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Senior Data Engineer - Finance

Vercel

San Francisco, CA • On-site, Remote

$170K - $260K/yr

Full-time

Posted 8 days ago

Job description

About Vercel:
Vercel is the agentic infrastructure company. We free people and agents to ship what's next.
For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.
Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.
We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you're building our products, supporting our customers, growing our community, or shaping our story, you'll help define what comes next.
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 tiers with usage-based billing across many metered products, plus Enterprise contracts, so this data is genuinely complex to get right. This is a full-stack role: you'll build and maintain the pipelines, transformations, and data models that turn billing and usage data into the revenue, forecasting, and reporting infrastructure Finance runs on.
You'll work closely with Finance stakeholders to understand how metrics are used and make sure they're right, not just build to spec. Reporting to the Data team's engineering lead, you'll have full ownership over your area, set technical direction, and help raise the bar for how the team builds financial data infrastructure.
If you want your work to directly shape how the business understands its revenue and financial performance, we'd love to hear from you.
What You Will Do:
  • Own pipelines that bring billing, usage, and contract data into the warehouse reliably, including metered usage across multiple products.
  • Diagnose and resolve data quality and freshness issues at the source, not just downstream.
  • Design and maintain dbt models that turn raw billing and usage data into clean, trusted datasets for revenue recognition, margin, and forecasting.
  • Set testing and documentation standards so models hold up to the accuracy bar Finance requires when reconciling usage-based revenue against contracts.
  • Build datasets and semantic models that power the dashboards and reports Finance leadership uses for planning, forecasting, and close.
  • Reduce reliance on one-off requests by designing for self-service.
  • Work with Finance leaders (FP&A, Accounting, Revenue) to understand what they need from the data and why, and push back when the ask doesn't match the underlying question.
  • Build pipeline and transformation code to a high engineering bar, and hold others to it through code review.
  • Mentor other engineers and help set technical standards for the team.

About You:
  • 4+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end
  • Strong SQL and Python skills, with experience writing production-grade, testable code, not just scripts for one-off analysis
  • Hands-on experience with dbt (or a comparable transformation framework), dimensional/data modeling, and modern ELT/ETL workflows, including orchestration tooling (e.g., Airflow, Dagster)
  • Direct experience with Finance data, ideally including usage-based billing, revenue recognition, or financial close/forecasting metrics, with genuine fluency in how those metrics are defined and used
  • Proven ability to partner with non-technical stakeholders, translating ambiguous business questions into technical specs and durable data models, not just taking requirements at face value
  • Strong communication skills, including presenting technical trade-offs to both technical and business audiences
  • A track record of technical ownership, with the judgment to make architecture decisions independently and mentor other engineers
  • Comfort with the accuracy and auditability standards Finance data requires (e.g., reconciliation, versioning, clear lineage)

Benefits:
  • Competitive compensation package, including equity.
  • Inclusive Healthcare Package.
  • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
  • Flexible Time Off.
  • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $170,000 - $260,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

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