Data engineer jobs in West Hills, CA and nearby (31 jobs)

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

Counted Nov 10, 2026

Hiring at a glance

View jobs

Open jobs: 31
Employers: 26

Advertised starting pay

Average starting payUSD / year: $123,467Across 10 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 3%1 listing
On-site: 6%2 listings

Not specified: 90% (28 listings)

Employers hiring include ALO (2), Amazon.com Services LLC (2), KBR Wyle Services, LLC (2).

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 West Hills, CA and nearby

Within 25 miles

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Added 11 hours ago
Lead Data Engineer – Experimentation
INSPYR Solutions
Santa Monica, CA
Description: Lead Data Engineer - Experimentation
Added 12 hours ago
RH
Senior Data Engineer
Robert Half
Santa Monica, CA
- $80 to $88 USD / hour
We are looking for a Data Engineer to join the client’s User Platforms organization. This role will be responsible for building and scaling the data foundation that powers experimentation,…
Added 3 days ago
Data Engineer, Deal Intelligence & Automation, AWS GDSP
Amazon Web Services, Inc.
Santa Monica, CA
The Global Deal Strategy and Programs (GDSP) organization is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the…
Added 4 days ago
DE
Data Engineer II
Disney Entertainment & Sports LLC
Santa Monica, CA
- $106,900 to $150,100 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
A
Senior Data Engineer
ALO
Beverly Hills, CA
- $140,000 to $180,000 USD / year
We are looking for a Senior Data Engineer to build and scale the foundational data platform that powers ana
Added 4 days ago
A
Lead Data Engineer
ALO
Beverly Hills, CA
- $180,000 to $220,000 USD / year
We are looking for a Lead Data Engineer to architect, build, and evolve the foundational data platform that
Added 5 days ago
AI
Data Engineer - 1668
aKube Inc
Santa Monica, CA
- Up to $92.5 USD / hour
Added 6 days ago
Data Engineer II, Creator Services
Amazon
Culver City, CA
We are seeking a skilled Data Engineer to join our Data
Added 7 days ago
Senior Data Engineer
Womble
Glendale, CA
Womble Bond Dickinson (US) LLP is seeking a remote Senior Data Engineer to their US team. The Senior Data Engineer is the Firm’s hands-on technical owner for its enterprise internal data…
Added 8 days ago
Management Consultant - Data Engineer
IBM
LOS ANGELES, CA · Santa Monica, CA
Added 9 days ago
Data Engineer
Trinzic
Camarillo, CA
Added 10 days ago
Data Engineer
KBR Wyle Services, LLC
Camarillo, CA
Added 13 days ago
DE
Sr Data Engineer (PH)
Disney Entertainment
Glendale, CA
- $144,100 to $193,200 USD / year
As a Senior Data Engineer at The Walt Disney Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists…
Added 16 days ago
UH
Senior Data Engineer
UCLA Health
Los Angeles, CA
- $108,900 to $241,500 USD / year
We're seeking an experienced Senior Data Engineer to join our team! In this role you will:
Added 17 days ago
Senior Data Engineer (Enterprise Operations)
The Aerospace Corporation
El Segundo, CA
Added 19 days ago
G
Senior Data Engineer (Data Platform)
Gallatin
El Segundo, 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 20 days ago
TW
Software Data Engineer
The Walt Disney Company
Burbank, CA
- $108,500 to $145,500 USD / year
We are looking for a Data Engineer to join the Performance Marketing arm of
Added 23 days ago
Data Engineer
Trinzic
Camarillo, CA
Added 23 days ago
TW
Software Data Engineer
The Walt Disney Company
Burbank, CA
- $108,500 to $145,500 USD / year
We are looking for a Data Engineer to join the Performance Marketing arm of
Added 23 days ago
Data Engineer II - Insights, Strategy & Analytics
Sony Pictures Entertainment
Culver City, CA
Sony Pictures Entertainment is seeking a talented data engineer to join the Insights, Strategy and Analytics (ISA) organization. The ISA team focuses on enhancing analytical capabilities…
Added 24 days ago
Principal Data Engineer
Career Movement
El Segundo, CA
A high-growth consumer rewards and marketing insights company is looking for a principal data engineer to help rebuild its data platform from the ground up using Python, SQL, Snowflake,…
Added 25 days ago
WD
Sr Data Engineer
Walt Disney Attractions Technology LLC
Glendale, CA
- $135,200 to $181,200 USD / year
Added 25 days ago
Sr Data Engineer
5 Star Recruitment
Glendale, CA
Added 26 days ago
Sr. Data Engineer, iCloud Insights Engineering
Apple
Culver City, CA
Are you ready to make a significant impact at the intersection of data engineering and iCloud analytics within Apple? If you are passionate about building robust data pipelines, crafting…
Added 29 days ago
RA
Senior Data Engineer
rahlp1 American Homes 4 Rent, L.P.
Calabasas, CA
- $122,573.13 to $151,395 USD / year
The Senior Data Engineer is responsible for designing, building, and managing the data platform an

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.

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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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