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Market Data Engineer Jobs in California (NOW HIRING)

Windfall

Senior Data Engineer

San Francisco, CA · On-site

$170K - $220K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that ... By democratizing access to people data, organizations can intelligently prioritize go-to-market ...

Crexi

Senior Data Engineer

Los Angeles, CA · On-site

$158K - $214K/yr

  • Medical

  • Dental

  • Vision

From real-time data and market insights generated by Crexi Intelligence, to targeted property ... The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models ...

SS&C Technologies Inc

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Data Engineer ...

SS&C Technologies

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Data Engineer ...

Vori, Inc

Forward Deployed Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

At Vori, Forward Deployed Data Engineers bridge the gap between customer systems and our modern ... Real revenue, real growth, and a massive market opportunity * A chance to shape not just marketing ...

SS&C

Sr. Data Engineer

San Francisco, CA

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Data Engineer ...

Grailed

Senior Data Engineer

Los Angeles, CA · On-site

$128K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure ... market differences across the U.S. Hiring Range: Tier 1 (Includes states such as California, New ...

Grailed

Senior Data Engineer

Los Angeles, CA

$128K - $160K/yr

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure ... market differences across the U.S. Hiring Range: Tier 1 (Includes states such as California, New ...

GOAT Group

Senior Data Engineer

Los Angeles, CA

$128K - $160K/yr

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure ... market differences across the U.S. Hiring Range: Tier 1 (Includes states such as California, New ...

Figma

Data Engineer

San Francisco, CA · On-site

$140K - $348K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced Data Engineer to partner with our Data Science and Data ... market demands, and specific work location. Figma offers equity to employees, as well as a ...

Agilent

AI Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

... market laboratories worldwide with instruments, services, consumables, application and both ... Strong data engineering with experiencebuilding forAI consumption: retrieval-ready, semantically ...

CrewAI

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with Discovery, product, and go-to-market teams on analysis behind recommendations ... Strong data engineering or analytics engineering experience, especially building data foundations ...

CrewAI

Lead Data Engineer, Data Platform

San Francisco, CA

$134K - $162K/yr

Partner with Discovery, product, and go-to-market teams on analysis behind recommendations ... Strong data engineering or analytics engineering experience, especially building data foundations ...

CrewAI

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with Discovery, product, and go-to-market teams on analysis behind recommendations ... Strong data engineering or analytics engineering experience, especially building data foundations ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Why You'll Love World Market You won't find a store and team like this anywhere else! We're ... Experience & SkillsYou'llBring * 10+ years of data engineering experience maintaining data platform ...

Anaheimducks

Lead Data Engineer

Anaheim, CA

$140K - $180K/yr

... market demands, and organizational considerations. The Lead Data Engineer is responsible for designing, building, and governing a reliable data warehouse architecture that unifies key business data ...

Third Wave Automation

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... market fit, and just closed its Series C funding. If you are excited about cutting edge machine ... As our dedicated Data Engineer, you aren't just joining a team; you are the architect of our data ...

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

... market demands, and organizational considerations. The Lead Data Engineer is responsible for designing, building, and governing a reliable data warehouse architecture that unifies key business data ...

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Showing results 41-60

All JobsMarket Data Engineer JobsMarket Data Engineer Jobs in California

Market Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do market data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for market data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 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 does a market data engineer do?

A market data engineer designs, develops, and maintains systems for collecting, processing, and distributing financial market data. They work with large datasets, use programming languages like Python or Java, and often utilize database and data pipeline tools to ensure accurate and timely data delivery for trading and analysis purposes.

What cities in California are hiring for Market Data Engineer jobs?

Cities in California with the most Market Data Engineer job openings:

Market Data Engineer jobs near you
Infographic showing various Market Data Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Senior Data Engineer

Windfall

San Francisco, CA • On-site

$170K - $220K/yr

Full-time

Re-posted 16 days ago

Job description

Windfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall, and you will work closely with our product, data science, and other engineering teams. You will personally design and build the pipelines for massive datasets, taking them all the way from inception to exploration to production and customer use.
We're on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.
Responsibilities:
  • Construct data pipelines to ingest and merge billions of individual entities into Windfall's core data asset
  • Work closely with our data science team to run ML models on top of billions of data points
  • Build supporting data services and applications to orchestrate and monitor our data systems

Some technology you will use:
  • Cloud platform - GCP
  • Programming languages - Java, Python, and Kotlin
  • Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra
  • Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark
  • Orchestration - Airflow

Requirements:
  • 4-8 years of professional data engineering experience
  • Significant experience working with Apache Beam/Spark/Flink or MapReduce
  • Strong Object-oriented programming ability in a JVM language
  • Expert knowledge of distributed data processing
  • Familiarity with different datastores, their differences, and appropriate usages
  • Experience at a sub-200 person company
  • You communicate as well as you code
  • You can simplify complex problems into simple solutions
  • You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
  • You are comfortable making trade-offs between quality, complexity, and speed-of-delivery

Preferred Qualifications:
  • Proven experience taking a large project from ideation to production
  • Experience leading greenfield projects
  • Working knowledge of cloud-native data engineering infrastructure

Additional Information:
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California and Colorado. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site
Compensation range:
$170,000 - $220,000 a year
About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.
We comply with CCPA. For more information on how we comply, review our privacy notice.
Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.

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