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Data Engineer Finance Jobs (NOW HIRING)

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 ...

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 ...

Convo Communications

Data Engineer

$100K - $110K/yr

About the role Convo Communications is seeking a technically skilled and self-driven Data Engineer to support and advance the data infrastructure that powers operational, product, financial, and ...

First Soft Solutions

Sr. Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer (Financial Services - Enterprise Data Platform) Location: [Onsite / Hybrid / Remote] Employment Type: Full-Time (W2 Only) No Corp-to-Corp (C2C) About the Role We are seeking a Data ...

First Soft Solutions

Sr. Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer (Financial Services - Enterprise Data Platform) Location: [Onsite / Hybrid / Remote] Employment Type: Full-Time (W2 Only) No Corp-to-Corp (C2C) About the Role We are seeking a Data ...

Apple

Data Engineer, Operations Finance

Sunnyvale, CA · On-site

$134K - $161K/yr

The Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and supply-chain business to understand ...

Apple

Data Engineer, Operations Finance

Sunnyvale, CA · On-site

$146K - $244K/yr

Data Engineer, Operations Finance The Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and ...

Baseten

Data Engineer

New York, NY · On-site

$180K - $250K/yr

You'll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes ...

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Purpose Financial Address : 322 Rhett Street, Greenville, South Carolina, United States - 29601 ... Position Summary The Data Engineer will play a critical role in designing, building, and ...

Purpose Financial

Data Engineer

Greenville, SC · On-site +1

$100K - $121K/yr

Purpose Financial Address : 322 Rhett Street, Greenville, South Carolina, United States - 29601 ... Position Summary The Data Engineer will play a critical role in designing, building, and ...

Apple

Data Engineer, Operations Finance

Sunnyvale, CA

$146K - $244K/yr

The Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and supply-chain business to understand ...

VTG

Data Engineer with Security Clearance

Chantilly, VA

$118K - $142K/yr

The Data Engineer will also integrate with external systems via API, parse API responses into ... Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or ...

AaraTechnologies Inc

DATA ENGINEER

Texas City, TX

$98K - $117K/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 ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site

$160K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling ... Design and implement canonical data models across financial and operational datasets. * Write and ...

Guidehouse

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls. * Implement ...

Guidehouse

Data Engineer

Mclean, VA

$85K - $141K/yr

Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls. * Implement ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Financial Data Engineer As a Financial Data Engineer, you'll help drive Concora Credit's Mission to ... Become an expert on the complete data cycle for finance from ingestion to reporting. * Identify ...

Guidehouse

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls. * Implement ...

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All JobsData Engineer Finance Jobs

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 Jun 9, 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.

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 the key skills and qualifications needed to thrive as a Data Engineer in Finance, and why are they important?

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.
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Data Engineer Finance jobs near you
Data Engineer

Data Engineer

Factory

San Francisco, CA • On-site

$134K - $162K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer

Factory is bringing autonomy to software engineering, and we're hiring a Data Engineer to own the systems that power how we understand and operate the business. 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 GTM.

What You Will Do And Achieve:
  • Build and refine the data models and warehouse architecture that serve as the backbone for product analytics, usage reporting, and business operations.
  • Design, operate, and scale the pipelines that move, transform, and validate data across internal and external systems.
  • Create the integrations that bring third-party and operational data into a unified, trusted environment.
  • Own the entire reporting surface at Factory, from core datasets and dashboards to the metrics leadership uses to steer the company.
  • Drive data quality, observability, governance, and documentation while helping teams adopt a self-serve analytics culture.
Qualifications
  • 4+ years of experience in data engineering or a full-stack data role with deep expertise in SQL and strong proficiency in JavaScript or Python.
  • Hands-on experience with data modeling, warehouse architecture, and BI-oriented schema design, along with operational familiarity using tools like dbt, Airflow, or Dagster.
  • Experience supporting or building business intelligence environments.
  • Strong statistical intuition and experience running or supporting experimentation frameworks.
  • The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).

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