Data engineer jobs in San Rafael, CA and nearby

Data engineer jobs within 25 miles of San Rafael, CA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 150
Employers: 118

Advertised starting pay

Average starting payUSD / year: $168,083Across 57 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 25%38 listings
On-site: 18%27 listings

Not specified: 57% (85 listings)

Employers hiring include Anthropic (5), Deloitte US (4), Amazon.com Services LLC (3).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in San Rafael, CA and nearby

Within 25 miles

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Added 12 hours ago
Data Engineer
Golden State
San Francisco, CA
The Golden State Warriors are looking for an experienced Data Engineer to join the growing Business Strategy and Analytics team. In this role, you will help us achieve our mission of…
Added 14 hours ago
PP
Senior Data Engineer
Pivot Point Solutions
Oakland, CA
- $37.87 to $65.05 USD / hour
Added 1 day ago
Data Engineer- Consultant AI& E
Deloitte US
San Francisco, CA
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 1 day ago
Data Engineer
Deloitte US
San Francisco, CA
…wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive…
Added 1 day ago
Management Consultant - Data Engineer
IBM
San Francisco, CA
Added 3 days ago
Data Engineer
Anthropic
San Francisco, CA
Added 3 days ago
TH
Senior Data Engineer (Contract)
Teal Health
San Francisco, CA
- $90 to $125 USD / hour
Added 3 days ago
Senior Robotics Data Engineer, Frontier AI & Robotics (FAR)
Amazon.com Services LLC
San Francisco, CA
…systems through frontier foundation models, and high-quality data collection is a core input to that…
Added 3 days ago
M
Data Engineer, NPI Supply Chain
ManpowerGroup
South San Francisco, CA
- $75 to $90 USD / hour
Our client, Data & AI Operations is seeking a Data Engineer, NPI Supply Chain - Sunnyvale, CA to join their team. As a Data Engineer, NPI Supply Chain - Sunnyvale, CA, you will be part of…
Added 4 days ago
Robotics Data Engineer, Frontier AI & Robotics (FAR)
Amazon.com Services LLC
San Francisco, CA
…systems through frontier foundation models, and high-quality data collection is a core input to that…
Added 4 days ago
EU
Data Engineer, NPI Supply Chain
Experis USA
South San Francisco, CA
- $75 to $90 USD / hour
Our client, Data & AI Operations is seeking a Data Engineer, NPI Supply Chain - Sunnyvale, CA to join their team. As a Data Engineer, NPI Supply Chain - Sunnyvale, CA, you will be part of…
Added 4 days ago
Data Engineer
Lilly
South San Francisco, CA
Added 5 days ago
Data Engineer, Expert
Pacific Gas And Electric Company
Oakland, CA
PG&E is seeking an Expert Data Engineer to lead the development of a modern, cloud-native data platform that supports vegetation management operations, regulatory compliance, and advanced…
Added 5 days ago
Data Engineer, Product
Notion
San Francisco, CA
Added 6 days ago
Senior Data Engineer
Anthro
Alameda, CA
We’re hiring a Data Engineer to help build and scale our data backbone. This will be a high impact position on the Anthro Data Team, with significant ownership across pipelines, modeling,…
Added 6 days ago
Sr Data Engineer
Disney Streaming Tech
San Francisco, CA
…of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business…
Added 7 days ago
LATAM - Lead Data Engineer
Insight Global
San Francisco, CA
…modeling, reporting, self-service analytics, and AI-enabled data…
Added 11 days ago
Data Engineer I
Dovenmuehle Mortgage, Inc.
San Francisco, CA
…the United States, is looking for a talented and enthusiastic data engineer. We work exclusively in…
Added 11 days ago
S
Data Engineer, Business Units - Go
Superhuman
San Francisco, CA
- $135,000 to $205,000 USD / year
Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.
Added 11 days ago
H
Senior Data Engineer
Headway
San Francisco, CA
- $180,000 to $225,000 USD / year
Added 11 days ago
Senior Data Engineer
Anthro
Alameda, CA
We’re hiring a Data Engineer to help build and scale our data backbone. This will be a high impact position on the Anthro Data Team, with significant ownership across pipelines, modeling,…
Added 12 days ago
C
Senior Staff Data Engineer
Cohere
San Francisco, CA
- $300,000 to $350,000 USD / year
Added 12 days ago
Data Engineer, Marketing
SpaceXAI
San Francisco, CA
Added 12 days ago
G
Senior Data Engineer (Data Platform)
Gallatin
San Francisco, CA
- $80,000 to $120,000 USD / year
…executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the…
Added 13 days ago
TW
Staff Data Engineer (Audio/ML) - Skywalker Sound
The Walt Disney Company
Nicasio, CA
- $173,100 to $232,100 USD / year
The Skywalker Sound Development Group is seeking an experienced Data Engineer with a focus on Audio/ML to specialize in the creation, management, and optimization of data pipelines to…

Lilly

Data Engineer

South San Francisco, CA, United States

$157,500 - $231,000

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Job details

Pay: $157,500 - $231,000
Experience: 5+ years of data engineering experience building and operating production data systems.
Posting language: English
Posted: Sep 16, 2026

Original job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work - but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Where AI Meets Medicine: Build the Future of Drug Discovery in the Heart of Silicon Valley!

Making medicine that’s never been made means doing what’s never been done. If you’re an engineer, scientist, or builder who thrives on problems no one has solved before, this is your invitation; we want you on the team. We are ready to challenge the status quo and push medicine forward, all in the name of health. Are you up for the challenge? If so, join us!

About the Lilly and NVIDIA Partnership

Lilly and NVIDIA are launching a new AI co-innovation lab in the heart of Silicon Valley - an up-to-$1 billion, multi-year commitment to solve drug discovery’s toughest challenges. The lab brings Lilly scientists, technologists, chemists and biologists together with NVIDIA engineers under one roof. Together, we are building purpose-built foundation and frontier AI models trained on Lilly data at scale, tightening the feedback loop between automated wet labs and computational dry labs, designing the next generation of medicines for millions of patients across the globe.

What You’ll Be Doing

As a Data Engineer, you will build and maintain the data platforms that power AI-driven research and discovery. You will develop scalable pipelines that ingest, transform, and deliver chemical, biological, and experimental data for machine learning and scientific workflows. Partnering with AI Scientists, AI Engineers, and laboratory researchers, you will ensure that data is accurate, traceable, and accessible at scale. Your work will provide the trusted data foundation behind next-generation AI models and experiments.

How You’ll Succeed

Engineer datasets in large language environment for model training specifically efficient formats and storage layout (Parquet, Zarr, Arrow) and delivery fast enough that GPU clusters are never left waiting on data.
Design, develop, and maintain scalable and efficient data pipelines to support data analytics, reporting, and machine learning initiatives.
Ensure seamless data flow between systems and applications, optimizing data transfer and transformation processes for performance and scalability.
Build the ingestion path from the automated lab, so experimental results reach the models in hours rather than weeks, closing the loop between what a model proposes and what the next model learns from.
Own the correctness of what models train on completeness, sound joins across experimental sources, and validation that catches a bad dataset before it reaches a training run rather than after.
Build dataset versioning, lineage, and reproducibility into the platform, so any model can be traced to the exact data it was trained on months or years later.
Work with the laboratory, instrument, and external teams producing the data so that a change upstream does not quietly corrupt a training run downstream.

What You Should Bring

Strong Python, or equivalent experience building data-intensive software systems.
Strong SQL and data modeling experience including designing schemas that hold up as scientific data grows and diversifies, with expert knowledge of Postgres or a comparable enterprise database.
Distributed data processing (Spark, Ray, or Dask) and pipeline orchestration (Airflow or Dagster) at scale.
Experience with cloud platforms - AWS and Azure preferred - and with high-performance and object storage feeding large-scale compute environments.
A track record of building data systems that other people depend on, and of taking responsibility for them when they broke.
Strong testing practices and test automation, with solid CI/CD and Git fundamentals.
Adaptability and a collaborative mindset, with the ability to translate complex scientific questions into data solutions that accelerate experimentation and decision-making.
Experience streaming and event-driven integration (Kafka, MQTT, or AMQP), including instrument and laboratory data capture.
Cheminformatics or scientific data experience - compound registration, structure notation (SMILES, InChI, HELM), RDKit, multi-omics, assay, or sequencing data - is a strong plus.
Prior experience across the following: data modeling, ETL/ELT at scale, ontology development, semantic graph construction and linked data, or relational schema design.
Experience standing up, migrating, or consolidating databases and data platforms, including production cutover of systems in active use.

Your Basic Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
5+ years of data engineering experience building and operating production data systems.

Location & Work Flexibility

This role is based at our Silicon Valley Hub. We offer a flexible hybrid work model, with three days onsite and two days working remotely each week , supporting both collaboration and work‑life balance.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$157,500 - $231,000

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

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