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Market Data Engineer Jobs (NOW HIRING)

... engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data ...

... engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data ...

... engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data ...

$140 - $210/hr

... engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data ...

... engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data ...

Senior Data Engineer

Los Angeles, CA · On-site +1

$114K - $155K/yr

ABOUT THRIVE MARKET Thrive Market was founded in 2014 with a mission to make healthy and ... THE ROLE Thrive Market's Data Engineering team is seeking a Senior Data Engineer! We are looking ...

Snowflake Data Engineer

New York, NY · On-site

$125K - $150K/yr

Snowflake Data Engineer Location: NYC, NY Duration: Fulltime Role Overview Build and scale cloud ... market data. * Build ingestion pipelines using Snowpipe / Snowpipe Streaming, Streams & Tasks ...

BAU_L3-Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Job Summary : ClifyX is seeking an experienced Data Engineer with a strong background in Asset ... Market Data Platforms Company : ClifyX provides innovative business solutions which satisfy ...

... engineering, data science and research, to deliver the infrastructure and tools that drive our ... These systems ingest, process, and distribute massive volumes of market data with extremely low ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ... market data feeds). During the internship you'll take on two real projects. You'll get your hands ...

Data Engineer

New York, NY

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ... market data feeds). During the internship you'll take on two real projects. You'll get your hands ...

Showing results 21-40

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.

Software Engineer - Market Data

Alpaca

Remote

Full-time

Posted 19 days ago


Job description

Your Role:

As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets.

The market data team is responsible for improving the overall architecture of Alpaca connected to data products such as stocks, options, crypto, and foreign exchange markets. Oversee their public API structure and documentation on both streaming and historical endpoints. The team is responsible for building a cohesive developer-first API and is tasked with planning, ideating, experimenting, and putting into production the new services, and libraries that overcome some of our greatest technical challenges as we continue to scale rapidly.

We are looking for senior or staff engineers who are keen on providing quality solutions, have great fundamentals, have proven experience building and architecting at scale, and are not afraid of challenging conventions. This demanding team also requires a deep understanding of POSIX-like operating systems, modern infrastructure, and orchestration practices.

Things You Get To Do:

  • Design highly scalable, mission-critical market data provider services
  • Maintain good software quality and test coverage
  • Participate in code reviews
  • Troubleshooting on incidents and reported bugs

Who You Are (Must-Haves):

  • BSc/MSc or equivalent experience in Computer Science or related field
  • Minimum 3 years of experience of backend software development
  • Hands-on experience with Docker or Kubernetes
  • DevOps mindset
  • Excited about what we are building at Alpaca
  • Knowledge of Agile/Scrum methodologies

 Who You Might Be (Nice-to-Haves):  

  • Experience working with large datasets
  • Experience with Kubernetes (CKA or CKAD certification is a plus)
  • Experience with SQL
  • Experience with IP networking
  • Good understanding of the financial market
  • Experience with any of the major cloud platforms (AWS/GCP/Azure)
  • Hands-on knowledge with shell scripting, Linux & Docker
  • Knowledge of microservice architectures
  • Knowledge of clean code principles

 Our Tech & Infrastructure Stack:

  • GoLang (primary), Python
  • REST, gRPC, Websockets, SSE
  • Docker, Kubernetes
  • Google Cloud Services (Google Kubernetes Engine, BigTable)
  • Prometheus, Grafana, ELK