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Financial Data Engineer Jobs in New York (NOW HIRING)

10xTalents

Data Engineer (Financial Services)

Newark, NJ · On-site +1

$119K - $143K/yr

About the job Data Engineer (Financial Services) Full-time, direct employment Hybrid onsite/remote - Newark, NJ No visa sponsorship or C2C at this time Our client is seeking a skilled and experienced ...

10xTalents

Data Engineer (Financial Services)

Newark, NJ · On-site +1

$119K - $143K/yr

About the job Data Engineer (Financial Services) Full-time, direct employment Hybrid onsite/remote - Newark, NJ No visa sponsorship or C2C at this time Our client is seeking a skilled and experienced ...

Weekday AI

Data Engineer - Finance

New York, NY

$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 ...

✩Wall Street Careers✩

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

JOB TITLE Investment Data Engineer RESPONSIBILITIES Own end-to-end data workflows that move ... Connect third-party data feeds from major financial information providers and standardize output ...

✩Wall Street Careers✩

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

JOB TITLE Investment Data Engineer RESPONSIBILITIES Own end-to-end data workflows that move ... Connect third-party data feeds from major financial information providers and standardize output ...

Oraapps Inc

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 ...

New

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 · 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 ...

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 ...

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Jobs in New York

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 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 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 (Financial Services)

10xTalents

Newark, NJ • On-site, Remote

$119K - $143K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the job Data Engineer (Financial Services) Full-time, direct employment Hybrid onsite/remote - Newark, NJ No visa sponsorship or C2C at this time Job Description: Our client is seeking a skilled and experienced Data Engineer with expertise in Fixed Income Capital Markets to join their dynamic team. The ideal candidate will possess a strong technical background in data engineering, with specific experience in containerization, Python API development, streaming/messaging systems, and capital markets within Fixed Income. Responsibilities: Containerization Expertise: Demonstrated proficiency in working with containerization technologies like ECS (Amazon Elastic Container Service) or Docker. Experience in deploying, managing, and scaling containerized applications in a production environment is essential. Python API Development: Extensive experience in developing APIs using Python, with a focus on building scalable and efficient data pipelines. Knowledge of Snowflake Snowpark coding is highly desirable, including the ability to leverage Snowpark for data processing tasks. Streaming and Messaging Systems: Strong understanding and practical experience with streaming platforms such as Kafka or Kinesis. Ability to design, implement, and optimize data streaming pipelines for real‐time data processing and analysis. Fixed Income Capital Markets: In-depth understanding of capital markets within Fixed Income, including bond markets, interest rates, credit products, and related financial instruments. Experience working with financial data and analytics in a Fixed Income context is highly preferred. Data Engineering: Collaborate with cross‐functional teams to design, build, and maintain data pipelines, ETL processes, and data warehouses. Ensure data quality, reliability, and scalability across various data sources and systems. Problem Solving and Innovation: Proactively identify opportunities for process improvement, automation, and optimization within the data engineering infrastructure. Drive innovation by implementing best practices and emerging technologies in data engineering. Communication and Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand requirements, gather feedback, and deliver impactful data solutions. Excellent communication skills are essential for effectively conveying technical concepts to non‐technical audiences. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field. Strong programming skills in Python, with experience in API development and data manipulation. Hands‐on experience with containerization technologies like ECS or Docker. Familiarity with Snowflake Snowpark for data processing tasks is a plus. Proficiency in streaming/messaging systems such as Kafka or Kinesis. Solid understanding of capital markets, particularly within Fixed Income. Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services is advantageous. Strong problem‐solving skills, attention to detail, and a passion for continuous learning and improvement. This is an exciting opportunity for a Data Engineer who thrives in a fast‐paced environment and is passionate about leveraging cutting‐edge technologies to drive innovation in Fixed Income Capital Markets. If you have the required skills and experience, we invite you to apply for immediate consideration. #J-18808-Ljbffr

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