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Market Data Engineer Jobs (NOW HIRING)

... Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream ... You will shape the future of this industry while working alongside other exceptional engineers and ...

New

$110 - $140/hr

To eliminate the unknown (data blind spots) within market research in a way that recognizes a ... The Data Engineer will design, implement, and manage scalable data pipelines, databases, and ...

New

Data Engineer

Kansas City, MO · On-site

$110 - $140/hr

To eliminate the unknown (data blind spots) within market research in a way that recognizes a ... The Data Engineer will design, implement, and manage scalable data pipelines, databases, and ...

New

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... market data feeds. Clean, well-structured data is the difference between noise and a profitable ... It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... market data feeds. Clean, well-structured data is the difference between noise and a profitable ... It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise ...

Data Engineer

Manhattan, NY · On-site

$115 - $130/hr

The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ... current market data and may vary from the range above. TheGuarantors is an Equal Opportunity ...

$115 - $130/hr

The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ... current market data and may vary from the range above. TheGuarantors is an Equal Opportunity ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Develop ETL/ELT processes for diverse data sources including market data, research documents ... Partner with AI engineers, software developers, and data scientists to understand data requirements.

Data Engineer

New York, NY · On-site

$115K - $130K/yr

The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ... current market data and may vary from the range above. TheGuarantors is an Equal Opportunity ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Develop ETL/ELT processes for diverse data sources including market data, research documents ... Partner with AI engineers, software developers, and data scientists to understand data requirements.

Market Risk Data Engineer

West New York, NJ · On-site

$123K - $148K/yr

Market Risk Data EngineerIntroduction We are looking for a skilled Market Risk Data Engineer to join our team. The primary focus of this role is to design, build, and optimize market risk data ...

ETL Data Engineer - ETRM/SSRS-Houston, TX

Houston, TX · On-site

$109K - $131K/yr

ETL Data Engineer - ETRM / SSRS Houston, TX | Hybrid | Must Live in the Houston Area | 12+ Month ... The environment includes market data, pricing, forecasting, time-series data, and other datasets ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required ... market data context. • Contribution to open-source data projects or dbt packages Skills:

$107K - $142K/yr

Experience with Market Data * Knowledge of microservice architectures * Knowledge of clean code principles * DevOps mindset is an asset * Cloud Networking experience (BGP, VPC peering) * Experience ...

Showing results 41-60

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 7, 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:

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.

Technical Lead Market Data

BloomGuarden

New York, NY • On-site

Full-time

Posted 3 days ago

New


Job description

Millennium

NYC

5 days a week in office

200-225K Base plus bonus (total comp-400-500K)

Technical Lead Market Data


The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world.

We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end—covering design, implementation, monitoring, support, and stakeholder management—while ensuring stability of the existing environment and driving platform improvements.

Principal Responsibilities

  • Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle.
  • Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems.
  • Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices.
  • Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity.
  • Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment.
  • Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning).
  • Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation.
  • Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes.
  • Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools.
  • Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions.
  • Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs).
  • Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability.

Qualifications / Skills Required

  • Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++.
  • Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments.
  • Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization.
  • Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations).
  • Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through.
  • Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production.
  • Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions.
  • Experience building solutions on cloud environments such as GCP and AWS.
  • Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell).
  • Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.).
  • Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure.
  • Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability.
  • Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management.
  • Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations.
  • Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.