Data engineer jobs in San Leandro, CA and nearby

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

Counted Nov 1, 2026

Hiring at a glance

View jobs

Open jobs: 186
Employers: 145

Advertised starting pay

Average starting payUSD / year: $165,282Across 72 listings
Average starting payUSD / hour: $81.23Across 11 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 25%46 listings
On-site: 21%39 listings

Not specified: 54% (101 listings)

Employers hiring include Anthropic (5), Walmart (5), Mercor (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 San Leandro, CA and nearby

Within 25 miles

Save this search

Added 1 day ago
SC
Staff Data Engineer
Sam's Club
SUNNYVALE, CA
- $212,326 to $286,000 USD / year
Duties: Establish, modify, and document data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets…
Added 1 day ago
Data Engineer Intern
Firework
San Mateo, CA
Added 1 day ago
Data Engineer
Anthropic
San Francisco, CA
Added 1 day ago
TH
Senior Data Engineer (Contract)
Teal Health
San Francisco, CA
- $90 to $125 USD / hour
Added 2 days ago
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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 3 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 3 days ago
W
(USA) Staff, Data Engineer
Walmart
SUNNYVALE, CA
- $110,000 to $286,000 USD / year
Join Walmart Global Tech's Global Data Foundations (GDF) team to build the next generation of Supply Chain Automation and Enterprise Intelligence platforms, including Digital Twin,…
Added 3 days ago
Data Engineer
Lilly
South San Francisco, CA
Added 3 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 3 days ago
Data Engineer, Product
Notion
San Francisco, CA
Added 4 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 4 days ago
DE
Sr Data Engineer
Disney Entertainment & Sports LLC
San Francisco, CA
- $155,400 to $208,400 USD / year
…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 4 days ago
Data Engineer
Chartmetric
San Mateo, CA
Chartmetric is one of the music industry’s leading data analytics platforms, trusted by more than 8,000 customers, including major labels such as Universal, Sony, Warner, and Apple Music,…
Added 5 days ago
LATAM - Lead Data Engineer
Insight Global
San Francisco, CA
…modeling, reporting, self-service analytics, and AI-enabled data…
Added 9 days ago
UT
Sr. Analyst - II/Senior Data Engineer & BI Developer # 26-26828
US Tech Solutions
Foster City, CA
- $98.53 to $98.54 USD / hour
We are seeking an experienced Senior Data Engineer & BI Developer with 8+ years of industry experience to design, develop, support, and maintain data products, analytical dashboard…
Added 9 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 9 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 9 days ago
DC
Senior Data Engineer & BI Developer (Hybrid)
Dawar Consulting, Inc.
San Mateo, CA
- $90 to $98 USD / hour
Our client, a world leader in biotechnology and life sciences, is looking for a "Senior Data Engineer & BI Developer” based in Foster City, CA.
Added 9 days ago
H
Senior Data Engineer
Headway
San Francisco, CA
- $180,000 to $225,000 USD / year
Added 10 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 10 days ago
C
Senior Staff Data Engineer
Cohere
San Francisco, CA
- $300,000 to $350,000 USD / year
Added 10 days ago
MT
Principal Data Engineer - AWS
Metis Technology Solutions Inc
Mountain View, CA
- $140,000 to $200,000 USD / year
Principal Data Engineer - AWS The annual base salary range for this position in Mountain View, CA is $140,000-$200,000. Please note that the salary information is a general guideline only.…
Added 10 days ago
Data Engineer, Marketing
SpaceXAI
San Francisco, CA
Added 11 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 11 days ago
Senior Data Engineer
Wells Fargo
CONCORD, CA
Wells Fargo is seeking a Lead Data Engineer – Automation for the Data Integration and Development (DID) team. It is a development team within Digital Technology and Innovation that is…

Gallatin

Senior Data Engineer (Data Platform)

El Segundo, CA, United States
Washington, D.C., DC, United States
San Francisco, CA, United States
Austin, TX, United States

$80,000 to $120,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $80,000 to $120,000 USD / year
Experience: 8+ years of professional data engineering experience, including hands-on design and operation of production data pipelines and ownership of a data platform or lakehouse
Posting language: English
Posted: Oct 21, 2026

Original job description

ABOUT GALLATIN

At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made - not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage.

We believe that you won't change the world by phoning it in and as such we work in-office in one of our core engineering locations: El Segundo, CA; Austin, TX; Washington, DC; San Francisco, CA.

ABOUT THE ROLE

Logistics decisions are only as good as the data underneath them, and in our world that data is fragmented across legacy systems of record, spreadsheets, slide decks, message traffic, and sensor feeds that were never designed to talk to each other. The Data Platform team connects those sources, cleans and models the data, and serves it to Navigator and our AI agents.

We're hiring a Senior Data Engineer to build that platform. You'll design and ship containerized services that create and manage external data connections, run an open lakehouse, and power the transformations that take raw source data to curated, semantically modeled entities. You'll also build the tools on top: fullstack applications that let logistics SMEs and analysts connect sources, map fields, and test pipeline changes on their own.

The platform runs everywhere Navigator runs: commercial and government cloud, single-tenant high-side enclaves, and air-gapped appliances at forward sites. That means open-source, Kubernetes-native components, hardened images, and data movement that tolerates intermittent and disconnected networks.

Success means a mission partner can point us at a new system of record and have validated, lineage-tracked, query-ready data flowing into Navigator within days.

ABOUT YOU

You start with the catalog: where data came from, what it means, and how much to trust it. You've integrated data from systems that disagree with each other and built the models and mappings that reconcile them.

You're a data engineer with strong software engineering skills, comfortable building a React or Vue front end for the pipeline tools you design. You bias toward action, ship working integrations early and improve them in production, and pull in teammates when the problem crosses into expertise you don't have.

WHAT YOU'LL DO

BUILD THE DATA PLATFORM

Design, build, and operate containerized services that create, configure, and manage external data connections: databases, REST/SOAP APIs, file drops, message buses, and legacy systems of record
Own our open lakehouse: object storage, Apache Iceberg tables, a REST catalog with data versioning
Build batch and streaming ingestion with change data capture where it fits, and design it to run on disconnected, degraded, intermittent, and limited (DDIL) networks
Run the platform on Kubernetes across commercial cloud, government cloud, and air-gapped edge appliances using hardened, FIPS-validated images

TURN RAW DATA INTO TRUSTED ENTITIES

Build transformation pipelines that take source data through raw, cleaned, and curated layers into the semantic entity model Navigator and our AI agents run on
Implement entity resolution and data fusion so each ship, part, unit, or supply request resolves to one record across sources
Structure unstructured inputs (documents, slides, spreadsheets) into typed, relational records
Build lineage, provenance, data quality checks, and confidence labeling into every pipeline so downstream answers show their sources and confidence

BUILD TOOLS THAT PUT DATA IN SME HANDS

Build fullstack applications (TypeScript, Vue, Python services) that let SMEs connect sources, map fields, and compose pipelines with low-code workflows
Give users sandboxes to branch the data, test a pipeline change, compare results, and promote it to production
Build documented APIs that Navigator features and AI agents consume

COLLABORATE AND RAISE THE BAR

Partner with Product, AI/ML, Frontend, and Infrastructure teams on RFCs, data models, and production code
Work with mission partners and field teams to map how data moves across their systems and translate operational constraints into platform requirements
Contribute to code reviews, documentation, and CI/CD practices, and mentor engineers as the data team grows

WHAT WE'RE LOOKING FOR

DATA ENGINEERING DEPTH

8+ years of professional data engineering experience, including hands-on design and operation of production data pipelines and ownership of a data platform or lakehouse
Hands-on production experience with an open table format (Apache Iceberg preferred; Delta or Hudi fine) and a distributed query engine (Trino, Presto, or Spark SQL), including partitioning, compaction, and schema evolution
Demonstrated experience with streaming and batch data pipeline technologies (Kafka, NiFi, Debezium, Spark, or similar)
Strong proficiency in Python and SQL, with experience integrating and validating data from multiple heterogeneous sources (relational and NoSQL databases, APIs, files, and streams)
Strong data modeling skills for both analytical and operational workloads; experience designing entity models for complex real-world domains
Production orchestration experience (Airflow, Dagster, Argo Workflows, or similar)
Production experience writing services in Python and/or TypeScript, plus enough front-end skill (Vue, React, or similar) to ship a usable internal tool end to end
Comfortable designing and documenting RESTful APIs that other teams build on

CONTAINERS AND PLATFORM

Strong Kubernetes and Docker experience: you've packaged, deployed, and operated stateful data services on Kubernetes and can debug networking, storage, and namespace issues
Comfortable building on open-source tooling for self-hosted and air-gapped deployments
Experience with AWS data services (e.g., S3, Glue, Aurora) or Azure equivalents and containerized environments (Kubernetes), delivered through DevSecOps/CI-CD pipelines

COMMUNICATION AND GROWTH MINDSET

Demonstrated ability to work independently against well-defined tasking with minimal oversight, and to communicate effectively with both technical and non-technical stakeholders, including data providers and consumers
Clear communicator across disciplines, whether writing an RFC, explaining a data model to an SME, or recording a weekly demo of recent work (a Gallatin tradition)
Always seeking to learn and stay current with industry trends and tools

BONUS POINTS

Active SECRET or TOP SECRET clearance
Data catalog, lineage, and governance experience (Iceberg REST catalogs, Nessie, Polaris, OpenLineage, DataHub, or similar)
Data versioning and branching (Nessie, lakeFS) for sandboxed pipeline testing
Apache NiFi or other low-code/no-code pipeline tools, including custom processors
Entity resolution, semantic data fusion, knowledge graphs, or ontology modeling
Shipping data workloads into air-gapped or classified environments
Palantir Foundry or ontology experience
Data infrastructure for AI: metadata and retrieval that make agents more accurate and explainable
Operations research, optimization, or constraint-solver background
Background in defense logistics, sustainment, or supply chain systems
Contributions to open-source data projects

WHY GALLATIN?

Join a mission-driven, high-impact, and fast-moving startup where your work directly improves defense logistics readiness for the warfighters of the United States and allied forces.

Work alongside a team of passionate engineers, designers, and industry experts.

Competitive compensation incl. generous options grant, 100% employer-paid health insurance premiums, 401k, opportunities for rapid career growth, unlimited PTO, free lunches and snacks in the office.

This position requires the ability to obtain and maintain relevant security clearances. The successful candidate must be able to work in a classified environment when necessary.

If you're not excited about working hard, and solving the hard problems of building AI decision-support systems that enhance our warfighters, don't apply.

The following ranges are based on the cost of labor across US geographic areas. The base ranges from our lowest geographic market to our highest geographic market.

Apply About employer

More about this job

Skills

Logistics
Full-stack development
Kubernetes
React
Vue.js
Statistical quality control
TypeScript
Python
ML
Data models
Documentation
CI/CD
Data engineering
Apache Spark
SQL
Apache Kafka
NoSQL
Data modelling
Apache Airflow
API development
Docker
AWS
Microsoft Azure
Communication skills
Work independently
Research
Supply chain management
Geographic areas

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