How often are new jobs added?

Every minute. We scan thousands of hiring sources in real-time so you see roles as soon as they go live, often hours before they appear on public job boards.Early access = higher odds of getting interviewed.

Why can I only view limited per day on the free plan?

Free access gives everyone a fair starting point. But seeing every job instantly creates an unfair advantage, so unlimited browsing is reserved for Pro users who want full access to fresh, hidden, and time-sensitive roles. Limiting free browsing also prevents automated scraping by competitors.

What sources do you pull jobs from?

We aggregate from: - company career pages - startup platforms - ATS systems (Greenhouse, Lever, Ashby, Workable, etc.) - niche regional job boards - hidden talent networks not indexed by Google Over 50,000 sources → one unified feed.

Are these jobs legitimate?

Yes. We automatically remove: - expired listings - spam - shady postings - duplicates - fake "ghost jobs" Every job you see is active, real, and verified at the source.

What’s the benefit of upgrading to Pro?

Pro gives you an information advantage. You unlock: - unlimited job browsing - real-time alerts for your saved filters - early access to newly discovered roles - deeper filtering (salary, remote, visa, experience, etc.) - access to hidden sources most job seekers never find Pro users consistently apply earlier and get significantly higher interview rates.

Can I filter by location, experience, remote, or salary?

Yes and Pro unlocks the power filters job boards don’t show you, including: - roles posted in the last 24 hours - company ATS only - startup-only sources - remote-flex categories - international roles by timezone

Why are early alerts so important?

Most job applications pile up within the first 6–12 hours after posting. If you apply early, you skip the crowd and rank higher in recruiter screening. Our alerts give you that timing advantage.

If the employer provides it, yes. If not, we attempt to estimate using salary bands from public and private datasets (Pro only).

Is DayOneJobs suitable for senior roles too?

Yes. We cover all roles, from internships to senior-level. Filters simply let you tailor your feed to your level.

What's the typical salary range for Data Engineers in San Francisco?

Data Engineers in SF typically earn $180K-$280K base salary, with total compensation reaching $350K+ at FAANG companies. Senior roles at startups often include significant equity upside.

Which San Francisco neighborhoods are popular among tech professionals?

SOMA and Mission Bay offer proximity to major tech offices. The Mission and Castro provide vibrant culture, while Noe Valley and Pacific Heights attract families seeking excellent schools.

What are the top companies hiring Data Engineers in SF?

Major employers include Salesforce, Meta, Google, Uber, Airbnb, and Stripe. Growing opportunities exist at fintech companies like Plaid and Chime, plus numerous AI startups.

How does the data engineering scene compare to other tech hubs?

SF leads in cutting-edge ML infrastructure and real-time data systems. The concentration of AI companies and venture capital creates unique opportunities for working on bleeding-edge technologies.

Are there good networking opportunities for Data Engineers in SF?

The Bay Area hosts excellent meetups like SF Data Engineering, PyData SF, and Apache Kafka meetups. Many companies sponsor tech talks and the proximity enables strong professional networks.

What's the remote work situation for Data Engineers in San Francisco?

Most companies offer hybrid arrangements with 2-3 days in office. Some startups are fully remote, while established tech companies typically require regular office presence for collaboration.

Which industries beyond traditional tech hire Data Engineers in SF?

Strong demand exists in fintech (Square, Stripe), biotech (Genentech, 23andMe), and healthcare tech. The city's diverse economy creates opportunities across multiple high-growth sectors.

Data Engineer
jobs in San Francisco that
LinkedIn doesn't show

1 roles from funded startups and hidden sources. Posted
minutes ago. Updated every 60 seconds

Browse Latest Jobs Get New Job Alerts

Open roles1

Median salary band—

Companies hiring1

Avg time to fill18 days

We pull jobs from sources most job seekers never check

San Francisco startups funded

Corgi

Founded 2024

View Open Roles

$160M raised51-200 employeesSeries BB2B

Corgi is an AI-native, full-stack insurance carrier built for startups, using modern infrastructure and artificial intelligence to handle underwriting, policy management, and claims so it can deliver fast, flexible commercial insurance tailored to growing companies.[2][5]

Raised

$160M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Standard Intelligence

View Open Roles

$75M raised1-10 employeesSeries ASeries A

Standard Intelligence is a San Francisco-based AI research lab building foundation models optimized for computer use — agents that interact with software through its graphical interface. Its FDM-1 model is trained on video footage rather than annotated screenshots, using an inverse dynamics model to auto-generate captions, and ships with a video encoder the team says is roughly 100x more efficient than comparable alternatives. The six-person team is pursuing what it calls aligned artificial general intelligence by scaling agentic capabilities through video pretraining.

Raised

$75M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

HockeyStack

Founded 2021

View Open Roles

$50M raised51-200 employeesSeries AB2B

HockeyStack is a San Francisco-based enterprise revenue intelligence platform that builds AI Revenue Agents for go-to-market teams. Its event-based data architecture and machine-learning Blueprint model power autonomous agents that work alongside reps on prospecting, new business, and account expansion, with customers including Microsoft, New Relic, and Harvey.

Raised

$50M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Noon

Founded 2024

View Open Roles

$44M raised11-50 employeesSeries APlatform

Noon is an AI-native product design tool that bridges the gap between product design and engineering. Unlike traditional design tools that produce static visual mockups, Noon pulls code directly from a team's codebase and design system, ensuring what a designer produces is what ships. AI is embedded throughout to handle repetitive tasks while keeping designers in creative control. Founded in October 2024 by IIT Guwahati alumni Aditya Bandi and Kushagra Sinha.

Raised

$44M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Ulysses

Founded 2023

View Open Roles

$38M raised1-10 employeesSeries ASeries A

Ulysses is a San Francisco-based technology company building The Ocean Company — networked fleets of low-cost, autonomous surface and underwater vehicles engineered for persistent operation in harsh maritime environments. The platform spans mine countermeasures and intelligence, surveillance and reconnaissance for contested waters, protection of subsea critical infrastructure, offshore inspection, and ocean-conservation work such as seagrass restoration; flagship products include MAKO, a small autonomous underwater vehicle positioned as the "Model T for the ocean", and Leviathan, an autonomous surface mothership and maritime domain awareness platform. Founded in Dublin in 2023 by Akhil Voorakkara, Will OBrien, Jamie Wedderburn and Colm OBrien, the company now operates from 1640 17th Street, San Francisco, and counts the US Navy among its active customers.

Raised

$38M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Afresh

Founded 2017

View Open Roles

$34M raised51-200 employeesSeries BB2B

Afresh is a San Francisco-based AI platform for the grocery industry, founded in 2017 by Matt Schwartz, Nathan Fenner, and Volodymyr Kuleshov. Its software orchestrates store-level ordering, inventory management, production planning, and distribution-center buying across fresh, center store, frozen, and general merchandise. Afresh operates in more than 12,500 departments across 40 U.S. states and partners with grocers including Albertsons Companies, Meijer, Stater Bros., and Wakefern.

Raised

$34M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Judgment Labs

Founded 2025

View Open Roles

$32M raised11-50 employeesSeries APlatform

Judgment Labs builds infrastructure that turns AI agents production data — reasoning traces, tool calls, retries, memory — into evals, alerts, and continuous-improvement loops. Its platform analyzes the full agent trajectory rather than just final outputs, surfacing failure patterns so teams can ship targeted fixes. Founded by three childhood friends (Alex Shan, Andrew Li, Joseph Camyre), the San Francisco company already powers monitoring at a growing roster of agent-native startups.

Raised

$32M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Comfy

Founded 2024

View Open Roles

$30M raised11-50 employeesSeries BPlatform

San Francisco-based Comfy Org is the team behind ComfyUI, a node-based workflow platform that gives visual professionals granular control over AI image, video, 3D, and audio generation. Originally released as an open-source project in 2023, ComfyUI has grown to more than four million users and a 60,000-node community ecosystem, and is used by studios, ad agencies, and enterprise creative teams as production infrastructure. Alongside the open-source tool the company operates Comfy Cloud, a hosted runtime for teams that need collaboration, security, and managed compute.

Raised

$30M

Series B · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco

United States

Hilbert's AI

View Open Roles

$28M raised11-50 employeesSeries APlatform

Hilbert's AI (legally Hilbert AI Co.) is a San Francisco-based analytics and decision-automation software company that builds an AI-native growth platform for consumer (B2C) brands. The product unifies marketing, product and commerce data, uses deep-learning agents to interpret customer behaviour and recommend next-best actions, and quantifies the financial upside of each recommendation before execution — compressing multi-month analytics projects into weeks. Walmart and other consumer brands use Hilbert's to turn AI spend into measurable growth outcomes, with the platform also serving as a forecasting engine for customer-base and revenue trajectories.

Raised

$28M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, CA

United States

Treeline

Founded 2025

View Open Roles

$25M raised11-50 employeesSeries AAI/ML

Treeline is a San Francisco-based AI-powered IT, security, and compliance platform for growing tech companies, founded by Peter Doyle (CEO) and Hussain Kader (CTO). The platform acts as a full external IT and security team, offering 24/7 AI-enhanced help desk, automated workflows, continuous monitoring, and integrations with tools like Okta, Crowdstrike, Google Workspace, and Vanta. Treeline delivers 80% faster response times and automates 98% of IT tickets, positioning itself as a modern IT operating system for fast-scaling businesses.

Raised

$25M

Series A · 2026

Key contacts

Leadership & hiring contacts indexed

HQ market

San Francisco, California

United States

Fresh listings right now

Experience Level

Employment Type

Status

Interview prep for Data Engineer roles

Focus areas that matter most for data engineering positions. Explore key insights and preparation tips to help you excel in your interview process.

CODING PREP

SQL & Python Fundamentals

Data engineers face medium-difficulty coding problems focused on data manipulation, ETL logic, and distributed processing algorithms.

DifficultyMedium

SQL optimization and streaming algorithms are key

Start Practicing

SYSTEM DESIGN COURSES

Data Pipeline Architecture

Design scalable data systems, streaming pipelines, and storage solutions that handle petabyte-scale workloads.

Streaming
Real-time data pipelines
Storage
Data lake & warehouse design
Processing
Distributed computing frameworks

Start Practicing

COMPANY INSIGHTS

Company-Specific Focus

Different companies emphasize different aspects of data engineering based on their scale and business needs.

Netflix
Real-time recommendation pipelines
Stripe
Financial data processing & compliance

Start Practicing

Why San Francisco stands out

Compare cost-of-living buying power and how crowded the market is versus other major tech cities—so you can focus your search where the odds fit your goals.

Premium Salaries Offset Higher Living Costs

While San Francisco housing costs run approximately 15% higher than New York, Data Engineers here command 25-30% salary premiums at tech giants like Meta, Google, and Salesforce. The ROI advantage comes from equity compensation and accelerated career growth in the world's premier tech ecosystem.

New York baseline100

San Francisco (15% lower)85

Moderate Competition in High-Demand Market

SF's data engineering market shows healthy demand with manageable competition. Strong hiring across fintech, biotech, and enterprise software creates diverse opportunities.

San Francisco

New York

Seattle

Frequently Asked Questions

Don’t get beat to tomorrow’s openings

New roles go live every minute and the earliest applicants win. Get the freshest, verified listings delivered straight to your inbox before most job seekers ever see them.

👉 Get free daily job posts

Data Engineer jobs in San Francisco that LinkedIn doesn't show

We pull jobs from sources most job seekers never check

Get Real-Time Job Alerts For Free