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Financial Data Engineer Jobs in California (NOW HIRING)

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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 ...

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, INC.

Data Engineer

Spring Valley, CA · On-site

$61K - $141K/yr

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

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Chula Vista, CA · On-site

$61K - $141K/yr

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

Cisco

Data Engineer

San Jose, CA · On-site

$167K - $245K/yr

Lead the implementation of data engineering standards, reusable frameworks, and automation ... Experience working with ERP, Sales, Finance, Customer, or Supply Chain data domains. Why Cisco? At ...

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 artifi cia ... 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 artifi cia ... 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 ...

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, INC.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

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

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Encinitas, CA · On-site

$61K - $141K/yr

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

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Escondido, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia ... 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 +1

$61K - $141K/yr

Share 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

El Cajon, CA · On-site

$61K - $141K/yr

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

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Jamul, CA · On-site

$61K - $141K/yr

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

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Showing results 21-40

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 Aug 12, 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 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer

Numeric

Sunnyvale, CA • On-site

$136K - $163K/yr

Full-time

Re-posted 23 days ago

Job description

Job Title: Data Engineer
Location: Sunnyvale, CA.
Direct Client: Req.
Key Qualifications:
  • Data Engineer (TERMINUS)
  • 3+ years of hands-on Data Warehousing and Data Engineering experience.
  • Database design and development experience with Relational or MPP databases such as Snowflake/Postgres/ Oracle/Teradata/ Vertica.
  • Proficiency in Advanced SQL, performance tuning.
  • Experience in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/Golang).
  • Familiarity with version control systems, CI/CD practices, testing, and migration tools for database and software.
  • Experience in Dimensional Modeling (DM) is a big plus.
  • Ability to learn and adapt to new tools and technologies.
  • Should possess analytical and mathematical mindset, capable of evaluating and solving various complex problems.
  • Ability to work individually or as part of a team.
  • Ability to learn quickly in a fast-paced environment.
  • Excellent oral and written communication skills.

Bonus Qualifications:
  • Experience working with APIs.
  • Experience with cloud computing platforms like AWS, Google Cloud.
  • Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc.

Description:
  • You will architect, develop, and test large scale data solutions, to provide efficient analytical and reporting capabilities across global and regional sales and finance teams.
  • You will develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule and monitor the workflows. Build generic and reusable solutions that can scale and utilize various technologies and frameworks to solve complex business requirements.
  • You will be required to understand existing solutions, fine-tune them, and support them as needed.
  • Data quality is our goal, and we expect you to meet our high standards on data and software quality.
  • We are a rapidly growing team with plenty of interesting technical and business challenges to solve.
  • We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.

Education & Experience:
BS or MS in Engineering / Computer Science.

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