Data engineer jobs in Berkeley, CA and nearby

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

Counted Oct 29, 2026

Hiring at a glance

View jobs

Open jobs: 154
Employers: 121

Advertised starting pay

Average starting payUSD / year: $166,232Across 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: 21%32 listings

Not specified: 55% (84 listings)

Employers hiring include Anthropic (4), 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 Berkeley, CA and nearby

Within 25 miles

Save this search

Added 18 days ago
Customer Data Engineer
Gridsight
San Francisco, CA
Added 18 days ago
Senior Data Engineer
Serene Healthcare Staffing
San Francisco, CA
seeking a Senior Data Engineer to build and own our data platform and
Added 18 days ago
Data Engineer (Senior)
Sadient
San Francisco, CA
Added 18 days ago
Data Engineer
AVEVA Software LLC
San Leandro, CA
Added 18 days ago
Lead Data Engineer - Healthcare Data & Audience Applications
Zeta Global
San Francisco, CA
Added 18 days ago
Data Engineer
You.com
San Francisco, CA
Added 18 days ago
Senior Data Engineer
Tatari
San Francisco, CA
Added 18 days ago
Senior Data Engineer
Tatari
San Francisco, CA
Added 18 days ago
Senior Data Engineer
Tatari
San Francisco, CA
Added 18 days ago
Staff Data Engineer
Taskrabbit
San Francisco, CA
…fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for…
Added 18 days ago
M
Senior Data Engineer
Mytra
Brisbane, CA
- $180,000 to $200,000 USD / year
Added 18 days ago
SC
Data Engineer
Sigma Computing
San Francisco, CA
- $140,000 to $180,000 USD / year
We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will…
Added 18 days ago
SC
Data Engineer
Sigma Computing
San Francisco, CA
- $140,000 to $180,000 USD / year
We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will…
Added 18 days ago
Senior Data Engineer
RZR Global Inc.
San Francisco, CA
Added 18 days ago
Geospatial Data Engineer , WW Sustainability
Amazon.com Services LLC
San Francisco, CA
Added 18 days ago
M
Senior Cloud / Data Engineer (Data / Reconstruction / HIPAA)
Midjourney
San Francisco, CA
- $215,000 to $222,000 USD / year
3. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility.
Added 18 days ago
Forward Deployed Data Engineer
Vori
San Francisco, CA
At Vori, Forward Deployed Data Engineers bridge the gap between customer systems and our modern grocery platform. You’ll work closely with onboarding managers to configure Vori for each…
Added 18 days ago
Data Engineer, Machine Learning
Vizcom
San Francisco, CA
Added 18 days ago
Data Engineer
Tarro
San Mateo, CA
Added 18 days ago
S
Senior Data Engineer
Strava
San Francisco, CA
- $175,000 to $190,000 USD / year
Added 18 days ago
SI
Member of the Technical Staff - Data Engineer
Stand Insurance
San Francisco, CA
- $240,000 to $295,000 USD / year
Added 18 days ago
R
Senior Data Engineer
Regard
San Francisco, CA
- $165,000 to $220,000 USD / year
As a Senior Data Engineer at Regard, you'll own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing…
Added 18 days ago
R
Data Engineer
Regard
San Francisco, CA
- $160,000 to $190,000 USD / year
As a Data Engineer at Regard, you'll build and maintain the data pipelines and infrastructure that turn raw clinical and product data into the metrics, insights, and capabilities that drive…
Added 18 days ago
Founding Data Engineer
Reducto
San Francisco, CA
Added 18 days ago
RA
Senior Data Engineer
Rad AI
San Francisco, CA
- $145,000 to $200,000 USD / year

Sigma Computing

Data Engineer

San Francisco, CA, United States
NY, United States

$140,000 to $180,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $140,000 to $180,000 USD / year
Experience: 3+ years of relevant experience working in a data engineering role
Posting language: English
Posted: Jul 23, 2026

Original job description

Data Engineer, Data Platform

About the Role

We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects.

If you’re a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat!

What You Will Be Doing

Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)
Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
Scale our terraform deployment across all of our Snowflake assets
Continue to advance our data governance policies
Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM - with users of all skills and levels

Qualifications We Need

Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
Experience deploying data governance frameworks with a scalable and repeatable process
Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
3+ years of relevant experience working in a data engineering role
Startup experience

Qualifications We Want (also, skills you’ll learn!)

A drive to continuously learn (and share those learnings) about the evolving data ecosystem
Familiarity with dbt
Advanced knowledge python knowledge
Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Additional Job details

The base salary range for this position is $140k - $180k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About us:

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Come join us!

Benefits For Our Full-Time Employees:

Equity
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Apply About employer

More about this job

Skills

Data models
Snowflake
Databricks
Data engineering
IBM Terraform
dbt
Communication skills
Collaboration
Google Analytics
Python
Apache Airflow
AWS
Google Cloud

Report this job