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Market Data Engineer Jobs (NOW HIRING)

Point72

Low-Latency Market Data Engineer

New York, NY · On-site

$62.25 - $82.75/hr

We are looking for a detail-oriented and dedicated Low-Latency Market Data Engineer with at least 10 years of experience in the design, implementation, and support of Linux/Unix operating systems.

Clear Street

Software Engineer - Market Data

New York, NY · On-site

$200K - $250K/yr

We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for ...

Clear Street

Software Engineer - Market Data

New York, NY · On-site

$200K - $250K/yr

We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for ...

Solomon Page

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Market Data Engineering * Build and optimize pipelines supporting complex market data analytics. * Work with Fixed Income, Credit, FX, Rates, Commodities, and derivatives datasets. * Support yield ...

Wells Fargo

Lead Market Data Platform Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Wells Fargo is seeking a Lead Market Data Platform Engineer within the Market Data Technology group. This role is responsible for the design, engineering, and support of mission-critical market data ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Background in Revenue Operations or go-to-market data contexts . * Contributions to open-source data projects or dbt packages. Skills: Data Engineering,sql,python,etl

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Market Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do market data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for market 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 are some common challenges Market Data Engineers face when integrating new data sources?

Market Data Engineers often encounter challenges related to data quality, format inconsistencies, and latency when integrating new data sources. Adapting to different vendor APIs, ensuring real-time data streaming, and maintaining data integrity are crucial tasks that can be technically demanding. Collaborating closely with trading, analytics, and IT teams is essential to troubleshoot issues quickly and deliver reliable data pipelines. Staying current with evolving data protocols and regulatory requirements also plays a significant role in the daily responsibilities of a Market Data Engineer.

What are the key skills and qualifications needed to thrive as a Market Data Engineer, and why are they important?

To thrive as a Market Data Engineer, you need strong programming skills (such as Python, Java, or C++), a deep understanding of financial markets, and a relevant degree in computer science or a related field. Familiarity with market data feeds (like Bloomberg or Reuters), FIX protocol, and real-time data processing systems is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for excelling in this role. These skills and qualities are crucial for ensuring accurate, reliable, and efficient delivery of market data to support trading and financial decision-making.

What is the difference between Market Data Engineer vs Data Analyst?

AspectMarket Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with data engineering toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentFinancial firms, trading platforms, data providersBusiness, finance, marketing departments across industries
Employer & Industry UsageFinancial services, trading firms, market data providersVarious industries including finance, marketing, healthcare

While both roles handle data, Market Data Engineers focus on building and maintaining data infrastructure for market data, whereas Data Analysts interpret data to generate insights. The roles often overlap in data handling but differ in technical depth and focus.

What cities are hiring for Market Data Engineer jobs?

Cities with the most Market Data Engineer job openings:

What states have the most Market Data Engineer jobs?

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

Market Data Engineer jobs near you
Infographic showing various Market Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Quantitative Data Engineer (Market Data)

Amtex System Inc.

Morristown, NJ • On-site

Other

Posted 4 days ago

Job description

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.


Job Title: Quantitative Data Engineer (Market Data)

Job Location: Morristown, NJ

Work Model: Hybrid (Tuesday, Wednesday, and Thursday on-site)

Project Duration: Permanent / Full-Time

Mode of Interview: Video / In Person

Must Have Skills:

  • MS or PhD in Computer Science, Engineering, Statistics, or a related discipline with excellent academic credentials.
  • 3+ years of production-level development experience in Python.
  • Proficiency in SQL, stored procedures, and database concepts (preferably with Microsoft SQL Server).
  • Familiarity with financial equity data, specifically Bloomberg, LSEG, Compustat, and CapIQ
  • Demonstrated experience in processing large and complex datasets.
  • Advanced knowledge of math, statistics, and strong problem-solving capabilities.

Position Overview:

We are seeking a Quantitative Data Engineer to join our team. You will research, design, code, test, and deploy models while supporting daily trading operations and collaborating directly with portfolio management and quantitative research teams.

Key Responsibilities:

  • Implement, enhance, and manage quantitative models for equity markets, frequently partnering with quantitative researchers on innovative ideas.
  • Design and improve proprietary data repositories and advanced financial data platforms.
  • Automate and support Extract, Transform, and Load (ETL) processes sourced from various market data vendors.

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