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Financial Data Engineer Jobs (NOW HIRING)

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 ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/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 ...

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

VTG

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 ...

Cypress HCM

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.

DP Professionals (DPP)

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... financial data integrity checks • Support the migration from legacy systems to a modern data ... engineering, including building, maintaining, and optimizing data pipelines and workflow • ...

AMD

Sr. Snowflake Data Engineer - Finance

Austin, TX · On-site

$113K - $136K/yr

... financial reporting and decision-making. Responsibilities : • Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data ...

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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 Jul 15, 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 job?

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 engineers make $300,000 a year?

Senior financial data engineers with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL, Python, and cloud platforms can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, financial institutions, or tech companies, especially those requiring specialized expertise and leadership responsibilities.

What types of projects or responsibilities can I expect as a Financial Data Engineer?

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 engineers make $500,000?

Senior financial data engineers, especially those with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL, Python, and cloud platforms, can earn $500,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work in high-demand industries such as finance or technology.

What does a financial data engineer do?

A financial data engineer designs, builds, and maintains data pipelines and infrastructure to process large volumes of financial data. They work with tools like SQL, Python, and cloud platforms to ensure data accuracy, security, and accessibility for analysis and decision-making. Strong programming skills and knowledge of financial systems are essential for this role.

Can I make 200k as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in programming, data modeling, and tools like SQL and cloud platforms can potentially earn salaries of $200,000 or more, especially in high-cost living areas or with senior roles. Compensation varies based on location, industry, company size, and individual expertise.

What are the key skills and qualifications needed to thrive in the Financial Data Engineer position, and why are they important?

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.

More about Financial Data Engineer jobs
What cities are hiring for Financial Data Engineer jobs? Cities with the most Financial Data Engineer job openings:
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What states have the most Financial Data Engineer jobs? States with the most job openings for Financial Data Engineer jobs include:
What job categories do people searching Financial Data Engineer jobs look for? The top searched job categories for Financial Data Engineer jobs are:
Financial Data Engineer jobs near you
Infographic showing various Financial Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

The Atlantic Group

Greenwich, CT • On-site

$128K - $154K/yr

Other

Re-posted 16 days ago

Job description

Our client is a specialist asset management firm with over $14 billion AUM, specialized in income-oriented credit investments in niche and inefficient markets. As a rapidly growing firm of 140-150+ employees, they are seeking a full-time Data Engineer fully onsite out of their Greenwich, CT office. This is for someone really looking to take that next step.

This is a time of high-growth at the firm, having hired many over the past year plus. There is a strong push on their IT initiatives currently. The firm makes high caliber long-term investment hires. They are a heavy automation shop, use technology to their benefit, and are not afraid of using AI to improve.

The right candidate for this opportunity would be an organized, self-motivated resource who is looking to challenge themselves and grow into performing a larger IT role in the firm.

Responsibilities:

  • Design, develop, and maintain efficient and scalable SQL pipelines for collecting, processing and storing large volumes of financial data using technologies such as Snowflake, dbt and Workato;
  • Write optimized SQL queries and stored procedures for data retrieval and analysis;
  • Manage policies and processes for data governance and data quality;
  • Create and maintain documentation for data process, data lineage and data dictionaries;
  • Build dashboards using visualization tools such a Power BI; and
  • Stay up to date on trends, best practices, and emerging technologies across the data engineering space and integrate into the platform where applicable.

Qualifications:

  • Self-motivated problem-solver with strong relationship building skills
  • Extensive experience in database design and SQL development
  • In-depth understanding of Snowflake architecture, performance tuning and cost optimization strategies
  • Strong familiarity with modern data orchestration tools, preferably dbt, Workato
  • Solid understanding of data modeling concepts and database design principles
  • Experience working with financial data
  • Bachelor s degree in Computer Science, Engineering, or related field

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