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Financial Data Engineer Jobs in New York (NOW HIRING)

MDOTM

Data Engineer (US Eastern Time Zone)

New York, NY · On-site

$125K - $150K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

MDOTM

Data Engineer (US Eastern Time Zone)

New York, NY · On-site

$125K - $150K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

MDOTM

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

ANY Looking for skilled Data engineer with comprehensive experience in designing, developing, and maintaining scalable data solutions within the financial and regulatory domains. Proven expertise in ...

Schonfeld

AI Data Engineer

New York, NY

$125K - $150K/yr

You will work at the intersection of data engineering and AI, ensuring that high-quality, timely ... Familiarity with financial data sources (market data, fundamental data, alternative data)

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

You will work at the intersection of data engineering and AI, ensuring that high-quality, timely ... Familiarity with financial data sources (market data, fundamental data, alternative data)

Credit Genie

Data Engineer

Manhattan, NY · On-site

$150 - $200/hr

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals ... As a Senior Data Engineer, you will independently own the design and operation of scalable data ...

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake ... The company works with leading consumer brands across sports, financial services, hospitality, real ...

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake ... The company works with leading consumer brands across sports, financial services, hospitality, real ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ...

Credit Genie

Data Engineer

New York, NY · On-site

$180K - $210K/yr

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals ... As a Senior Data Engineer, you will independently own the design and operation of scalable data ...

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake ... The company works with leading consumer brands across sports, financial services, hospitality, real ...

Theguarantors

Data Engineer

Manhattan, NY · On-site

$100 - $125/hr

... the financial risk of renter default. With $7B+ in lease value protected, we work with 9 of the ... The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ...

Solomon Page

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Unlike large financial institutions where responsibilities can be narrowly defined, this role offers broad ownership across data architecture, cloud migration, market data engineering, analytics ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About You We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving ...

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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 Sep 8, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data Engineer (US Eastern Time Zone)

MDOTM

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 28 days ago

Job description

About MDOTM
MDOTM is the Global leader in AI-driven investment solutions. Founded in 2015, we earned significant recognition in 2017 as the only European fintech startup selected by Google for its acceleration program in Silicon Valley.
Since then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York.
If you are looking for a fast-paced environment and are willing to take ownership, this is the right opportunity for you!
Role Overview
We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity.
In this role, you will be responsible for designing and evolving the core data infrastructure that powers analytics, machine learning, and critical business decisions. You will take ownership of how data flows across the company, from ingestion to consumption, ensuring it is reliable, well-modeled, and accessible to a wide range of stakeholders.
Key Responsibilities
  • Design, build, and maintain production-grade data pipelines and data-intensive systems
  • Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
  • Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
  • Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
  • Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics.
  • Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
  • Define and evolve data models and storage structures across relational and NoSQL systems
  • Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
  • Optimize data processing workflows for performance, reliability, and operational stability
  • Troubleshoot complex data issues and drive root cause analysis.
  • Contribute to technical decision-making and help define the roadmap for data infrastructure.

Requirements
  • Degree in Computer Science, Engineering, or a related field.
  • Strong programming skills in Java or Python (or other JVM-based languages)
  • Strong understanding of data modeling, SQL, and NoSQL databases
  • Strong focus on data quality, validation, and monitoring practices
  • Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
  • Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance
  • Ability to troubleshoot and optimize production data systems
  • Experience with workflow orchestration and data pipeline scheduling tools
  • Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
  • Strong problem-solving skills and attention to detail.
  • Professional proficiency in English.

Bonus Points
  • Experience with monitoring and visualization tools (e.g., dashboards)
  • Exposure to machine learning workflows and related data requirements

Why Join Us?
  • Work at the leading edge of technology, leveraging our decade of experience in proprietary AI to build the next generation of industry-defining tools.
  • Competitive salary & truly flexible work environment.
  • Benefit from an unlimited learning and development budget to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles.
  • Collaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York.
  • Annual company retreat at a stunning location.
  • Fast-track career progression, with opportunities to grow into leadership roles.

Apply