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Financial Data Engineer Jobs (NOW HIRING)

Snowflake Data Engineer - DBT

Johnston, RI · On-site

$115K - $138K/yr

... financial data initiatives. Key Responsibilities * Design, develop, and optimize scalable data ... Mentor junior data engineers and conduct code/design reviews. * Collaborate with business analysts ...

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

... stitching and financial data analysis. • Develop scalable data engineering solutions using Python, SQL, and AWS services. • Integrate and utilize AWS data services to support application ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

This role supports Finance functions including Finance & Strategy, Revenue Operations, and others, contributing to data pipelines that power daily operational reporting, monthly close processes, and ...

New

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

The Financial Data Engineer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into financial metrics and customer journey.

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role ...

Senior Data Engineer with Security Clearance

Chantilly, VA · On-site

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

Finance Data Engineer

Austin, TX · On-site

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Finance Data Engineer

Austin, TX · On-site

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Finance Data Engineer

Austin, TX · On-site

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title - Snowflake Data Engineer Contract - 12+ Months Location - NYC Onsite - Monday to Friday ... Financial Domain Data -- Prior exposure to financial data domains such as payment transactions ...

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role ...

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role ...

$100K - $155K/yr

This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role ...

BI DATA ENGINEER

Charlotte, NC · On-site

$111K - $134K/yr

Working closely with Finance Systems, FP&A, IT, Business Intelligence, and firm stakeholders, you will enable reliable, automated reporting and advanced analytics that support strategic decision ...

Senior Data Engineer - Finance

San Francisco, CA · On-site

$124K - $169K/yr

Your primary focus will be building and owning the data infrastructure that powers Oura's financial ... While Finance data engineering is your core domain, we expect and actively support our engineers ...

Showing results 41-60

Financial Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do financial data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for financial data engineer 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 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 cities are hiring for Financial Data Engineer jobs?

Cities with the most Financial Data Engineer job openings:

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

The most popular types of Financial Data Engineer jobs are:

Who are the top companies hiring for Financial Data Engineer jobs?

The top employers for Financial Data Engineer jobs are:

What states have the most Financial Data Engineer jobs?

States with the most job openings for Financial Data Engineer jobs include:

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

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

Infographic showing various Financial Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Snowflake Data Engineer - DBT

Johnston, RI • On-site

$115K - $138K/yr

Other

Posted 24 days ago


Job description

Sr. Snowflake Data Engineer DBT Location: Rhode Island (RI) Onsite
Openings: 5 Job Summary

We are looking for a Senior Snowflake Data Engineer with strong hands-on expertise in Snowflake, DBT, SQL, data modeling, and modern data engineering. The candidate will be responsible for designing and developing scalable data pipelines and transformation frameworks supporting critical banking and financial data initiatives.

Key Responsibilities
  • Design, develop, and optimize scalable data pipelines using Snowflake and DBT.
  • Develop complex DBT models, macros, tests, snapshots, and reusable transformation frameworks.
  • Write highly optimized SQL for large-scale data processing.
  • Design and implement data warehouse and data mart solutions in Snowflake.
  • Develop ELT pipelines and integrate data from multiple source systems.
  • Perform data modeling, transformation, reconciliation, and data quality validation.
  • Optimize Snowflake queries, workloads, storage, and overall data processing performance.
  • Establish and enforce DBT development standards, testing, documentation, and best practices.
  • Troubleshoot complex data pipeline and production issues.
  • Participate in architecture and technical design discussions.
  • Mentor junior data engineers and conduct code/design reviews.
  • Collaborate with business analysts, data architects, and application teams.
  • Support CI/CD, automated testing, and deployment of data engineering solutions.
  • Ensure compliance with banking data governance, security, and regulatory requirements.
Required Skills
  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake.
  • Advanced SQL development and optimization skills.
  • Strong hands-on experience with DBT.
  • Strong understanding of data warehousing, dimensional modeling, and ELT architecture.
  • Experience developing and managing enterprise-scale data pipelines.
  • Experience with Git and CI/CD practices.
  • Strong troubleshooting and performance-tuning skills.
  • Ability to work onsite in Rhode Island.
Preferred
  • Strong banking/financial services domain experience.
  • Experience with Python or other data engineering scripting languages.
  • Experience with cloud data platforms and modern data architecture.
  • Experience with DBT Cloud or enterprise DBT implementations.
  • Knowledge of data governance, data quality, security, and regulatory requirements.
  • Experience mentoring junior engineers and leading technical initiatives.