Analytics Engineer Jobs in San Francisco, CA
Analytics Engineer jobs in San Francisco are in strong demand, concentrated in SoMa, the Financial District, and Mission Bay across fintech, enterprise software, healthcare technology, and data infrastructure. Employers hiring right now include DoorDash, OpenAI, and Genentech. Find a role that fits below and apply directly.
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INTRODUCTION
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
ROLE
Analytics Engineer - Compliance Data
As an Analytics Engineer on the Compliance Data team within Platform, you'll build and maintain the production-grade data foundations that every regulatory obligation at Coinbase depends on. This team owns the Compliance Data Mart (CDM), Coinbase's canonical source of truth for user, transaction, and compliance data. You'll own the full lifecycle of data models and pipelines that downstream reporting, analytics, and AI workflows all build on, while also delivering accurate, timely data when regulators come calling.
What you'll do:
- Own end-to-end development of production-grade data models and pipelines at the core of the CDM, covering user, transaction, and compliance data across retail and institutional product lines, from architecture through deployment and maintenance.
- Build data quality checks, data contracts, validation logic, and monitoring that protect data integrity before issues propagate to downstream reports or workflows.
- Partner with upstream engineering teams to fix data gaps and absorb product changes at the source, taking accountability for data issues anywhere in the stack rather than passing them downstream.
- Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data, balancing time-sensitive reactive work with long-term foundational projects.
- Automate recurring manual workflows into scalable pipelines and self-serve tooling, enabling downstream teams and AI agents to answer their own questions.
BASIC QUALIFICATIONS
Required Skills and Experience:
- 2+ years of experience building and maintaining production data pipelines and data models, with strong proficiency in SQL, Python, dbt, and a modern warehouse platform (Snowflake, Databricks, or similar).
- Track record implementing data quality frameworks including data contracts, validation logic, reconciliation, and monitoring to catch issues before they reach downstream reports.
- Experience supporting time-sensitive, high-stakes data needs (regulatory exams, audits, or financial reporting) where accuracy and timeliness are non-negotiable.
- Demonstrated ability to turn tribal knowledge and recurring manual workflows into durable, documented infrastructure.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
COMPENSATION
- Job ID: P77413
- Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $152,405 USD - $179,300 USD
APPLICATION LIMIT
Candidates may submit a maximum of 3 applications within a 6-month period.
EQUAL OPPORTUNITY EMPLOYER
Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
US APPLICANTS
View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
ACCOMMODATIONS
If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
DATA PRIVACY & ARBITRATION
By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
AI DISCLOSURE
Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.
See All 263+ Analytics Engineer Jobs in San Francisco
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Find Analytics Engineer JobsAnalytics Engineer Job Market in San Francisco
Who's Hiring
- DoorDash13

- OpenAI10

- Genentech7

- Lyft6

- Whatnot6

Top Industries Hiring
- Technology & Software129
- Banking & Financial Services22
- Retail14
- Science & Research14
- Biotechnology & Pharmaceuticals11
Analytics Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a analytics engineer job in San Francisco?
The strongest path into San Francisco analytics engineering runs through fintech, enterprise SaaS, and health tech, where dbt, Snowflake, and Looker skills are consistently prioritized. Roles concentrate in SoMa and Mission Bay, so targeting companies headquartered in those corridors gives you an edge. Candidates who can demonstrate end-to-end data modeling experience, particularly building production-grade pipelines, stand out in this market.
Which companies hire analytics engineers in San Francisco?
Companies currently hiring analytics engineers in San Francisco include DoorDash, OpenAI, and Genentech, per current listings on Migrate Mate as of June 2026. San Francisco's mix of high-growth startups, established fintech firms, and healthcare technology companies makes it one of the more varied markets for analytics engineering in the country.
Are there remote analytics engineer jobs in San Francisco?
Yes, analytics engineering is one of the more remote-compatible technical roles given its desk-based, tool-driven nature. About 49% of analytics engineer openings tied to San Francisco are remote or hybrid as of June 2026, reflecting the sector's strong distributed-work culture. Fully remote openings tend to cluster in SaaS and data infrastructure companies, while on-site or hybrid schedules are more common at fintech firms with compliance requirements.
How can I get a analytics engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is moving into analytics engineering from a data analyst or BI developer role at a mid-size SaaS or fintech company, where teams are small enough to let junior hires own data modeling work. Bootcamp graduates who can show a dbt project or a documented Snowflake pipeline get serious consideration from early-stage startups in SoMa. Internships at San Francisco's health tech and enterprise software companies also convert to full-time roles at a high rate.
Which industries hire the most analytics engineers in San Francisco?
San Francisco analytics engineer roles concentrate in Technology & Software, Banking & Financial Services, and Retail, based on current listings on Migrate Mate as of June 2026. San Francisco's dense cluster of fintech headquarters, consumer technology companies, and venture-backed health tech firms creates sustained demand for analytics engineers who can translate raw data into production-ready models.
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