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Financial Data Engineer Jobs in New York (NOW HIRING)

Weekday AI

Data Engineer - Finance

New York, NY · On-site

$60 - $85/hr

... Data Engineer - Finance to build and maintain the data infrastructure that powers its finance ... financial initiatives. This is a 6-month, full-time onsite contract with the possibility of ...

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

The role demands expertise in Python, deep familiarity with financial data sources, and the ability ... Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

A clear and concise communicator Prior experience with financial data is helpful but not required. We're happy to hire talented engineers and teach them what they need to know. If you're a recruiting ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

A clear and concise communicator Prior experience with financial data is helpful but not required. We're happy to hire talented engineers and teach them what they need to know. If you're a recruiting ...

Point72

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

In this role, you will leverage knowledge graphs to connect financial data, design data models, and ... Required : • 3+ years of experience in knowledge graph engineering, graph database development ...

Ascot Group

Data Engineer, Finance

Iselin, NJ · On-site

$95K - $110K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... Serve as a Data Engineer Level 1 for projects, enhancements, and production support. * Be ...

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Support financial reporting, accounting, and regulatory data use cases * Enforce data engineering ... standards, security best practices, and governance policies Required Skills & Qualifications:

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Standard Position Overview We are seeking a hands-on Data Engineer with strong experience building scalable enterprise data solutions within Financial Services environments. The ideal candidate will ...

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Financial Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do financial data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for financial data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 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 New York? The most popular types of Financial Data Engineer jobs in New York are:
What are popular job titles related to Financial Data Engineer jobs in New York? For Financial Data Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer jobs in New York look for? The top searched job categories for Financial Data Engineer jobs in New York are:
What cities in New York are hiring for Financial Data Engineer jobs? Cities in New York with the most Financial Data Engineer job openings:
Financial Data Engineer jobs near you
Infographic showing various Financial Data Engineer job openings in New York as of August 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data Engineer - Finance

Weekday AI

New York, NY • On-site

$60 - $85/hr

Part-time

Posted 12 days ago

Job description

This role is for one of our clients

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers its finance operations. You'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. This is a 6-month, full-time onsite contract with the possibility of extension based on performance and business needs.

Location: Onsite - San Francisco, CA / New York, NY / Bellevue, WA

Requirements

Key Responsibilities
  • Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely financial data processing.
  • Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
  • Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions.
  • Own end-to-end data quality by identifying, investigating, and resolving pipeline issues efficiently.
  • Improve the reliability, scalability, and performance of data workflows supporting finance operations.
  • Contribute to architecture discussions and recommend best practices for data engineering and pipeline optimization.
  • Document workflows, data models, and engineering processes to ensure maintainability and knowledge sharing.
Requirements
  • 2-4 years of professional experience as a Data Engineer.
  • Strong hands-on experience with PySpark and distributed data processing frameworks.
  • Advanced SQL skills with experience writing efficient, production-grade queries.
  • Experience building, maintaining, and optimizing large-scale ETL/data pipelines.
  • Ability to work independently while collaborating effectively across cross-functional teams.
  • Bachelor's degree in Computer Science or a related technical discipline.
  • Excellent written and verbal communication skills.
  • Willingness to work onsite full-time.
Preferred Qualifications
  • Experience supporting finance, accounting, or enterprise business data platforms.
  • Familiarity with cloud-based data infrastructure and modern data engineering best practices.
  • Strong analytical and problem-solving abilities with attention to data accuracy.
  • Experience working in fast-paced, high-growth technology environments.
Role Details
  • Employment Type: Independent Contractor
  • Duration: 6-month contract with potential extension
  • Work Arrangement: Full-time, Onsite
  • Locations: San Francisco, CA / New York, NY / Bellevue, WA

Note: This is a hands-on data engineering position focused on building and maintaining production data infrastructure. It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a full-time onsite engagement.
  • Projects may be extended, shortened, or concluded early based on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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