Data engineer jobs in Stanton, CA and nearby (93 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 93
Employers: 65

Advertised starting pay

Average starting payUSD / year: $117,224Across 28 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 12%11 listings
On-site: 6%6 listings

Not specified: 82% (76 listings)

Employers hiring include Deloitte US (6), SpaceX (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 Stanton, CA and nearby

Within 25 miles

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Added 27 days ago
Data Engineer
MeridianLink
Costa Mesa, CA
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as…
Added 27 days ago
Emerging Field Data Engineer / Specialist
Kia Corporation
Irvine, CA
Added 27 days ago
Sr Databricks Data Engineer
Deloitte US
Costa Mesa, CA · Los Angeles, CA
Join Deloitte’s AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks…
Added 27 days ago
Lead Data Engineer
Deloitte US
Los Angeles, CA
Deloitte is seeking a Lead Data Engineer– Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will…
Added 27 days ago
Databricks Data Engineer
Deloitte US
Costa Mesa, CA · Los Angeles, CA
Join Deloitte’s Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence…
Added 28 days ago
SI
Senior Software / Data Engineer
Sleuth Insights
Los Angeles, CA
- $170,000 to $210,000 USD / year
Added 28 days ago
Senior Data Engineer
Paramount
Los Angeles, CA
Added 28 days ago
Workday PSA & Financials Data Engineer
Armanino Advisory LLC
Irvine, CA
Added 28 days ago
SF
Senior Data Engineer
SoLo Funds
Los Angeles, CA
- $150,000 to $180,000 USD / year
SoLo is building the data function of the future: one professional, operating a team of AI agents rathe
Added 28 days ago
Customer Data Engineer II - New Glenn
Blue Origin Personnel, LLC
Los Angeles, CA
Added 28 days ago
NA
Data Engineer
NAC Architecture
Los Angeles, CA
- $125,000 to $150,000 USD / year
NAC is looking for an experienced Data Engineer to join our delivery team, with a specific focus on designing, building, and optimizing data solutions on Microsoft Azure and Microsoft…
Added 28 days ago
Data Engineer (Starship)
SpaceX
Hawthorne, CA
Added 28 days ago
Data Engineer (Starlink Go-To-Market)
SpaceX
Hawthorne, CA
Starlink is the world’s largest satellite constellation delivering high-speed, low-latency broadband to customers around the globe. As the Data Engineer on the Starlink Enterprise
Added 28 days ago
Data Engineer (Starlink)
SpaceX
Hawthorne, CA
Added 28 days ago
Data Engineer (Starlink)
SpaceX
Hawthorne, CA
Added 28 days ago
U
Data Engineer
UJET
Los Angeles, CA
- $140,000 to $160,000 USD / year
Added 28 days ago
Principal Data Engineer
True Anomaly
Long Beach, CA
Added 28 days ago
TR
Data Engineer (AI Infrastructure)
Tax Relief Advocates
Irvine, CA
- $110,000 to $150,000 USD / year
You'll build the data systems and services behind our AI platform. You'll turn complex financial and case documents into structured, trustworthy data for our AI, analytics, and operational…
Added 28 days ago
Senior Data Engineer
Tatari
Los Angeles, CA
Added 28 days ago
Senior Data Engineer
Tatari
Los Angeles, CA
Added 28 days ago
Senior Data Engineer
Tatari
Los Angeles, CA
Added 28 days ago
Data Engineer II, JVM
PlayStation Global
Aliso Viejo, CA
Added 28 days ago
Staff Data Engineer
Rocket Limited Partnership
Los Angeles, CA
The Staff Data Engineer is an expert data handler and developer who has demonstrated their capacity for solving problems of broad scope that support the success of their value stream. The…
Added 28 days ago
Staff AI & Data Engineer, HR Systems
Riot Games
Los Angeles, CA
As a Staff AI & Data Engineer, HR Systems, you will bring deep AI and modern data engineering expertise to HR Systems, accelerating our evolution into an AI-augmented a
Added 28 days ago
Principal Data Engineer -Teamfight Tactics
Riot Games
Los Angeles, CA
At Riot, Data Engineers build the trusted data foundations that help teams make better decisions and create better experiences for players. As a Principal Data Engineer on Teamfight Tactics…

Databricks Data Engineer

Deloitte US · Atlanta, GA, United States · Austin, TX, United States · Boston, MA, United States · Charlotte, NC, United States · Chicago, IL, United States · Cincinnati, OH, United States · Cleveland, OH, United States · Columbus, OH, United States · Costa Mesa, CA, United States · Dallas, TX, United States · Denver, CO, United States · Detroit, MI, United States · Houston, TX, United States · Indianapolis, IN, United States · Kansas City, MO, United States · Los Angeles, CA, United States · McLean, VA, United States · Miami, FL, United States · Minneapolis, MN, United States · Morristown, NJ, United States · Nashville, TN, United States · NY, United States · Philadelphia, PA, United States · Pittsburgh, PA, United States · Rosslyn, VA, United States · Sacramento, CA, United States · San Diego, CA, United States · San Francisco, CA, United States · San Jose, CA, United States · Seattle, WA, United States · Stamford, CT, United States · Tampa, FL, United States · Tempe, AZ, United States

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Deloitte US

Databricks Data Engineer

Atlanta, GA, United States
Austin, TX, United States
Boston, MA, United States
Charlotte, NC, United States
Chicago, IL, United States
Cincinnati, OH, United States
Cleveland, OH, United States
Columbus, OH, United States
Costa Mesa, CA, United States
Dallas, TX, United States
Denver, CO, United States
Detroit, MI, United States
Houston, TX, United States
Indianapolis, IN, United States
Kansas City, MO, United States
Los Angeles, CA, United States
McLean, VA, United States
Miami, FL, United States
Minneapolis, MN, United States
Morristown, NJ, United States
Nashville, TN, United States
NY, United States
Philadelphia, PA, United States
Pittsburgh, PA, United States
Rosslyn, VA, United States
Sacramento, CA, United States
San Diego, CA, United States
San Francisco, CA, United States
San Jose, CA, United States
Seattle, WA, United States
Stamford, CT, United States
Tampa, FL, United States
Tempe, AZ, United States

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Job details

Apply by: Nov 10, 2026
Posting language: English
Posted: Jul 14, 2026

Original job description

Join Deloitte’s Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making. Recruiting for this role ends on 10/30/2026. Work you'll do As a Data Engineer II on the AI & Data team, you will be responsible for:

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

The team Deloitte’s Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications

Required:

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
Experience implementing data models, data integration patterns, and cloud-based data processing workflows
Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred:

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and continuous integration/continuous deployment pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic…

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More about this job

Skills

Databricks
Data engineering
Decision making
Apache Spark
Python
SQL
Reporting
Data modelling
Troubleshoot
Work independently
Communication skills
Attention to detail
Interpersonal skills
Meet deadlines
Artificial intelligence
Computer science
Statistics
Data models
Process data
AWS
Microsoft Azure
Google Cloud
Unity
Git
CI/CD
Data warehousing
Machine learning

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