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Market Data Engineer Jobs in California (NOW HIRING)

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

Improve data hygiene and quality across go-to-market systems - identify bad, missing, duplicate ... engineering or software engineering experience (internship experience applicable) * 1+ years of ...

Data Engineer

Redwood City, CA · On-site

$120 - $140/hr

... market impact. We are growing quickly and are looking to hire a Data Engineer to help scale our ... data and analytics capabilities. As the company grows, we need dedicated ownership of our data ...

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

... market. Come help us bring modern software to modern science. Benchling is building AI & Data ... This is a data engineering role - we want someone who builds and operates reliable, production ...

Data Engineer

San Francisco, CA · Hybrid

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from ... market demands, and internal pay parity. Depending on the position offered, equity and other forms ...

Data Engineer

San Francisco, CA · On-site

$150 - $230/hr

You'll work closely with Engineering, Product, and our go-to-market and operations teams to make sure the data infrastructure serves both internal decision-making and the product itself. Beyond ...

Data Engineer

San Francisco, CA · On-site

$150K - $250K/yr

You'll work closely with Engineering, Product, and our go-to-market and operations teams to make sure the data infrastructure serves both internal decision-making and the product itself. Beyond ...

Data Engineer

San Francisco, CA · On-site

$130K - $500K/yr

As a Software Engineer supporting our Data function, you will be responsible for creating and ... Get early insights into frontier model capabilities months before the market. * Growth: Work on ...

Data Engineer II

Sunnyvale, CA · On-site

$55 - $60/hr

Position: Data Engineer II Location: Sunnyvale, California Duration: Contract Job ID: 175305 Job ... the market; the skills, education, training, credentials, and experience of the candidate; and ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ... amplifier market. We work really hard, make sure we get good sleep, we handle conflict ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ... amplifier market. We work really hard, make sure we get good sleep, we handle conflict ...

Data Engineer

Davis, CA · On-site

$85 - $115/hr

The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ... amplifier market. We work really hard, make sure we get good sleep, we handle conflict ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ... amplifier market. We work really hard, make sure we get good sleep, we handle conflict ...

Data Engineer

San Francisco, CA · On-site

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from ... market demands, and internal pay parity. Depending on the position offered, equity and other forms ...

Sr. Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Job Title: Sr. Data Engineer Team: Engineering Location: Onsite - Sawtelle (Between Santa Monica ... market's exponential growth. Why Plug * You'll own a piece of the biggest infrastructure ...

Sr. Data Engineer

Santa Monica, CA · On-site

$180 - $210/hr

Job Title: Sr. Data Engineer Team: Engineering Location: Onsite-Santa Monica, CA Employment Type ... market's exponential growth. Why Plug * You'll own a piece of the biggest infrastructure ...

Sr. Data Engineer

Los Angeles, CA · On-site

$180 - $210/hr

Job Title: Sr. Data Engineer Team: Engineering Location: Onsite-Santa Monica, CA Employment Type ... market's exponential growth. Why Plug * You'll own a piece of the biggest infrastructure ...

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that ... market conditions, experience and training, licensure and certifications, and business and ...

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that ... market conditions, experience and training, licensure and certifications, and business and ...

Data Engineer

Los Angeles, CA · On-site

$100K - $130K/yr

... market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be ... As a Data Engineer , you'll help design the highly specialized data collection infrastructure in ...

New

Sr Data Engineer

San Francisco, CA · On-site

$155K - $208K/yr

Ability to think strategically, analyze and interpret market and consumer information. * Strong ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica ...

Showing results 21-40

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 Sep 7, 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 cities in California are hiring for Market Data Engineer jobs?

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

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.

Data Engineer (Starlink)

SpaceX

Hawthorne, CA • On-site

$145K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
DATA ENGINEER (STARLINK)
At SpaceX, we're leveraging our experience building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation, delivering fast, reliable internet to more than 10 million users worldwide. We design, build, test, and operate the full stack - satellites, user terminals, and the software that ties it all together.
As a Data Engineer on the Starlink Enterprise team, you will improve the quality of data flowing into our commercial systems and build the integrations and AI agents that turn that cleaner data into better decisions and faster execution - from pipeline generation through closed revenue and ongoing enablement. You will partner with Enterprise sales, channel and reseller operations, sales ops, and enablement to fix messy inputs, reduce manual cleanup, and ship automations that make go-to-market workflows more reliable.
RESPONSIBILITIES:
  • Improve data hygiene and quality across go-to-market systems - identify bad, missing, duplicate, and stale records; implement validation, enrichment, and remediation so higher-quality data enters our system of record, opportunity, partner/reseller, and enablement workflows
  • Raise the quality of inputs to AI agents and analytics so outputs (recommendations, deal status, enablement answers, reporting) are more accurate, trustworthy, and actionable
  • Build integrations across internal tools and external systems so deal, customer, and partner context flows cleanly between sales, channel ops, and operational platforms - reducing manual re-entry and preventing quality issues at the source
  • Develop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well-scoped access to the right data and tools
  • Design, ship, and iterate AI agents that power Starlink Enterprise go-to-market workflows
  • Contribute to AI-powered applications and automations that accelerate lead-to-revenue cycles, working within the additional datasets and systems architecture owned by the team
  • Instrument data quality and agent performance with monitoring and feedback loops - catching regressions early and tying improvements to outcomes (e.g., cleaner pipeline, faster cycle times, higher adoption and trust)
  • Partner closely with sales, sales ops, channel/reseller ops, and enablement to turn recurring data-quality problems and manual processes into durable automations and standards
  • Create reusable tools, checks, and documentation that help the team maintain data quality and extend agents over time
BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline
  • 1+ years of professional data engineering or software engineering experience (internship experience applicable)
  • 1+ years of development experience in Python or another modern programming language (SQL, etc.)
PREFERRED SKILLS AND EXPERIENCE:
  • Experience improving CRM data quality (deduping, enrichment, validation rules, field completeness, source-of-truth discipline)
  • Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate with real business systems (APIs, CRMs, ticketing, data warehouses)
  • Experience designing APIs, webhooks, or integration layers that connect heterogeneous systems and keep data consistent across them
  • Familiarity with Model Context Protocol (MCP) or similar patterns for exposing tools and data sources to AI systems
  • Experience with CRM and go-to-market tooling; familiarity with Clay, HubSpot, Apollo, or similar sales engagement / enrichment platforms is a plus
  • Professional experience supporting sales, sales ops, channel/reseller, or revenue operations workflows with data and automation
  • Experience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus
  • Experience with agent evaluation, guardrails, permissions, and human-in-the-loop patterns for production AI systems
  • Ability to thrive in a fast-changing environment, take initiative on ambiguous problems, and develop new expertise as the product and stack evolve

ADDITIONAL REQUIREMENTS:
  • Must be available to work extended hours and weekends as needed
  • Willingness to travel to customer sites, other SpaceX locations, and events as needed
COMPENSATION AND BENEFITS:
Pay Range:
Level 1: $125,000.00 - $150,000.00
Level 2: $145,000.00 - $175,000.00
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
    Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US