Data engineer jobs in Alameda, CA and nearby

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

Counted Oct 31, 2026

Hiring at a glance

View jobs

Open jobs: 175
Employers: 138

Advertised starting pay

Average starting payUSD / year: $167,809Across 63 listings
Average starting payUSD / hour: $81.35Across 10 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 25%44 listings
On-site: 22%38 listings

Not specified: 53% (93 listings)

Employers hiring include Anthropic (5), Mercor (4), Vertex Sigma Software (4).

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 Alameda, CA and nearby

Within 25 miles

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Added 20 days ago
E
Senior Data Engineer
E2B
San Francisco, CA
- $200,000 to $250,000 USD / year
Added 20 days ago
C
Data Engineer
Cyvl
San Francisco, CA
- $125,000 to $195,000 USD / year
…sensors, computer vision and AI that turn every drive into current data: what exists, where it is and what condition it's in. 500+ cities and towns use our Infrastructure Intelligence…
Added 20 days ago
Data Engineer - Data Platform
Mill
San Bruno, CA
Added 20 days ago
Data Engineer
Cognition
San Francisco, CA
We're the makers of Devin, the first AI software engineer.
Added 20 days ago
Growth and Data Engineer
Composio
San Francisco, CA
Added 20 days ago
C
AI Data Engineer, Data Platform
Collective
San Francisco, CA
- $180,000 to $230,000 USD / year
Added 20 days ago
G
Data Engineer
Gridware
San Francisco, CA
- $160,000 to $175,000 USD / year
Added 20 days ago
B
Data Engineer
Binti
San Francisco, CA
- $200,000 to $300,000 USD / year
Added 20 days ago
B
Data Engineer
Benchling
San Francisco, CA
- $153,000 to $207,000 USD / year
…years. But that only happens when clean, structured scientific data and AI are built into how science gets…
Added 20 days ago
B
Data Engineer
Baseten
San Francisco, CA
- $180,000 to $250,000 USD / year
Added 20 days ago
A
Sr. Data Engineer II
Allocate
Palo Alto, CA
- $145,000 to $220,000 USD / year
…with institutional-grade infrastructure. Through a single, data-rich digital experience, clients access top-tier opportunities across venture capital, private equity, private credit, and…
Added 20 days ago
S
Foundation Model Data Engineer
Sciforium
San Francisco, CA
- $155,000 to $210,000 USD / year
Sciforium is seeking a highly technical and visionary Foundation Model Data Engineer to lead the strategy, creation, and
Added 20 days ago
P
Senior Data Engineer
Plaid
San Francisco, CA
- $190,800 to $238,800 USD / year
Added 20 days ago
OA
Growth Data Engineer
OpenArt AI
San Carlos, CA
- $300,000 to $350,000 USD / year
Added 20 days ago
M
AI & Data Engineer
Mercator
San Francisco, CA
- $160,000 to $250,000 USD / year
Added 20 days ago
A
Lead Data Engineer, Analytics & Insights
Agtonomy
South San Francisco, CA
- $160,000 to $210,000 USD / year
Added 20 days ago
SI
Senior Data Engineer, NimbleRx
Swoop.com, Inc.
Redwood City, CA
- $205,000 to $240,000 USD / year
Added 20 days ago
Senior Data Engineer - Data Platform
Zipline
South San Francisco, CA
Added 20 days ago
Senior Data Engineer
Formation Bio
San Francisco, CA
Added 20 days ago
Senior Data Engineer (5+ years)
Foresite Labs
San Francisco, CA
Added 20 days ago
Staff Data Engineer
Discord
San Francisco, CA
Discord is looking for a Staff Data Engineer to join our Data Engineering team and partner with Consumer Revenue. Our mission is
Added 20 days ago
Senior Data Engineer
Discord
San Francisco, CA
Discord is looking for Senior Data Engineers to join our world class Data team. Data Engineers a
Added 20 days ago
Senior Data Engineer
CoreWeave
San Francisco, CA
Added 20 days ago
Data Engineer Intern
Coinbase
San Francisco, CA
Added 20 days ago
Data Engineer
Brex
San Francisco, CA

Mill

Data Engineer - Data Platform

San Bruno, CA, United States

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Job details

Experience: 3-5 years of experience operating data engineering systems in production
Posting language: English
Posted: Aug 19, 2026

Original job description

Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill’s residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial - the industry’s first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.

The Role

As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data quality, and the self-serve analytics platform (Hex + Snowflake) our business teams rely on. You'll work closely with the Senior Data Engineer owning our recommendations platform, contributing to and supporting that work as needed, with the opportunity to grow into deeper recommendation/LLM-based work over time. You'll partner closely with product, engineering, data analytics, and marketing teams.

What You'll Do

Design, build, and maintain scalable data pipelines across Mill's product and operational systems
Manage and maintain data infrastructure that powers our product and operational systems, ensuring it's reliable and ready to feed external customers and downstream analytics
Collaborate with software engineers to instrument new product features and ensure event data flows cleanly
Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal business teams
Help maintain the metrics, table endorsements, and business logic that analysts and stakeholders rely on
Own data quality monitoring - build alerting, validation frameworks, and observability tooling so data issues get caught before they become business problems

What We're Looking For

3-5 years of experience operating data engineering systems in production
Have built and operated data pipelines in production using Python, SQL, and tools like dbt, Airflow, Fivetran, or similar against a cloud data warehouse (e.g., Snowflake)
Have used Infrastructure as Code (e.g., Terraform, Pulumi) to provision and manage data infrastructure, with CI/CD discipline for pipeline and infra changes (automated testing, staged rollout, rollback)
Experience working with transactional databases (e.g., PostgreSQL, Amazon RDS) as a data source, including understanding how OLTP systems differ from warehouse/analytical workloads
Comfort working in a collaborative environment where data consumers are partners, not just stakeholders, and comfort moving between different types of work as priorities shift
A bias toward action

Nice to Have

Exposure to recommendation, personalization, or LLM-based product logic - not required, but a strong plus given the team's direction
Experience building or supporting self-serve analytics tooling (Hex, Looker, or similar)
Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)
Experience with Mixpanel, Tableau, or similar BI/analytics tools
Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse
Experience with event tracking or product analytics

The estimated base salary range for this position is $185k to $210k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

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More about this job

Skills

Snowflake
Data analysis
Data engineering
Python
SQL
dbt
Apache Airflow
Data warehouse
Infrastructure as code
IBM Terraform
Manage data
CI/CD
Test automation
PostgreSQL
Tableau

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