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Weekday Financial Data Engineer Jobs in California

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 ...

LendingClub Bank

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 ...

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 ...

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

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... 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

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 +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 ...

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, 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 ...

Stefanini Group

Data Engineer

San Francisco, CA · Hybrid

$134K - $161K/yr

Stefanini is looking for Data Engineer-Hybrid(Various locations in USA) For quick apply, please ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini Group

Data Engineer

San Francisco, CA · Hybrid

$134K - $161K/yr

Stefanini is looking for Data Engineer-Hybrid(Various locations in USA) For quick apply, please ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Stefanini is looking for Data Engineer-Hybrid(Various locations in USA)For quick apply, please ... markets, including financial services, manufacturing, telecommunications, chemical services ...

GEI Consultants

Data Engineer

Rancho Cordova, CA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

Stefanini Group

Data Engineer

San Francisco, CA · Hybrid

$134K - $161K/yr

Stefanini is looking for Data Engineer-Hybrid(Various locations in USA) For quick apply, please ... markets, including financial services, manufacturing, telecommunications, chemical services ...

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 ...

Stefanini Group

Data Engineer

San Francisco, CA · On-site

$107 - $113.33/hr

Stefanini is looking for Data Engineer-Hybrid(Various locations in USA) For quick apply, please ... markets, including financial services, manufacturing, telecommunications, chemical services ...

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Showing results 21-40

All JobsWeekday Financial Data Engineer JobsWeekday Financial Data Engineer Jobs in California

Weekday Financial Data Engineer information

What is the difference between Weekday Financial Data Engineer vs Financial Data Analyst?

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

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 cities in California are hiring for Weekday Financial Data Engineer jobs? Cities in California with the most Weekday Financial Data Engineer job openings:
Weekday Financial Data Engineer jobs near you
Infographic showing various Weekday Financial Data Engineer job openings in California as of July 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 100% In-person job distribution.
Forward Deployed Data Engineer (Data Platform & Solutions)

Forward Deployed Data Engineer (Data Platform & Solutions)

FloQast

Los Angeles, CA

$116K - $216K/yr

Full-time

Posted 28 days ago

Job description

Data Integrations at FloQast

FloQast is building the indispensable home base for the modern accountant: an AI-powered platform where accounting work is connected, automated, and intelligently executed. As we expand our Data Platform and Data Studio capabilities, we are making it faster and easier to connect source systems, model data, and publish trusted information across FloQast applications.

As a Forward Deployed Data Engineer (Data Platform & Solutions), you will own data integrations end to end. You will use FloQast’s Data Platform and Data Studio to connect to source systems, extract data, create mappings, transform it into FloQast-ready models, validate the results, and publish it to FloQast applications. You will work cross-functionally with customers, partners, Implementation, Customer Success, Product, and Engineering to deliver successful launches and durable data solutions. This is a hands-on role for someone who can turn source data, business needs, and platform capabilities into working data flows.

What You'll Do:

Data Integration & Analytics Engineering
  • Build End-to-End Flows: Use FloQast’s Data Studio and Data Platform to connect, extract, map, transform, validate, and publish customer data.
  • Transform & Model Data: Cleanse, reshape, and normalize structured and semi-structured data (large CSVs, TSVs, Excel) into clean, reusable, application-ready models.
  • API & Warehouse Connectivity: Establish robust connections to upstream systems via APIs, sFTP, data sharing, and cloud data warehouses like Snowflake.
  • Scale Integration Recipes: Partner directly with core Engineering to design, build, and scale standardized, reusable data integration recipes so new sources can be onboarded more efficiently over time.
Post-Sales Solutions & Collaboration
  • Partner with Customers & Delivery: Work directly with customers, Partners, Implementation, and Customer Success to translate messy real-world financial data into working production flows.
  • Triage & Troubleshoot: Rapidly debug production data issues, including schema mismatches, mapping gaps, and data variances, ensuring complete data trust.
  • Feedback Loop to Product: Act as a key internal stakeholder. Use your front-line experience to help Product and Engineering improve UI recipes and roadmap future platform features.
What You'll Bring:
Core Technical Profile
  • Experience: 3+ years of hands-on experience in Solutions Engineering, Technical Implementation, Analytics Engineering, Data Integration, or a customer-facing Data Engineering role.
  • The Data Stack: Advanced SQL proficiency and solid Python/scripting skills for data manipulation and API troubleshooting.
  • File & API Fluency: Deep comfort analyzing complex file structures, handling messy/incomplete source data, and building out API-based data connections.
  • Spreadsheet Mastery: Advanced proficiency in Microsoft Excel for data validation and audit matching.
  • Execution Mindset: A practical ownership mindset with a bias for action. You thrive in ambiguity and enjoy moving fast without heavy process overhead.
 
Nice to have:
  • Financial Domain Knowledge: Familiarity with financial data models, accounting hierarchies, or hands-on experience with major ERPs/accounting systems (e.g., Oracle, SAP, Workday, NetSuite, OneStream).
  • AI / LLM Exposure: Familiarity or experimentation with LLMs and AI tools for automated data prep, cleansing, or schema mapping.
  • Warehouse Experience: Experience working with cloud data warehouses like Snowflake or AWS Redshif
Why You’ll Love Working With Us:

FloQast’s Data Platform team is a place where technical, curious, and thoughtful builders solve meaningful problems with real customer impact. You’ll have the opportunity to own integrations end to end, shape how data moves through the FloQast platform, and help expand our reach across the accounting ecosystem. This is a team where strong operators can move quickly, take ownership, and make a visible difference in both customer outcomes and platform capability.

We value collaboration, initiative, and practical problem solving. You’ll work alongside teammates who care deeply about building reliable systems, solving hard data problems, and helping each other succeed. Here, you’ll have the space to be scrappy, think creatively, and contribute to a platform that is becoming foundational to how modern accounting teams work.

#LI-MP1
 
This job posting is for our Product Manager, the base pay range for this position is $116,000 - 216,000.  Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation.  FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.