Data engineer jobs in Echo Park, CA and nearby (86 jobs)

Data engineer jobs within 25 miles of Echo Park, 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: 86
Employers: 61

Advertised starting pay

Average starting payUSD / year: $123,882Across 29 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 12%10 listings
On-site: 5%4 listings

Not specified: 84% (72 listings)

Employers hiring include Deloitte US (6), Amazon.com Services LLC (5), SpaceX (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 Echo Park, CA and nearby

Within 25 miles

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Added 15 hours ago
Cloud Data Engineer
Deloitte US
Los Angeles, CA
Added 18 hours ago
Data Engineer, Consultant
BSC
Long Beach, CA
The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Consultant will…
Added 2 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 2 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 2 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 2 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 3 days ago
Financial Systems/Data Engineer
Easy Labs Inc.
Los Angeles, CA
Added 3 days ago
GCP Data Engineer
Recruiting Source International LLC
Downey, CA
Evaluate data ingestion methods, data transformation pipelines, and data visualization techniques to optimize data analysis workflows.
Added 3 days ago
Manager, Cloud Data Engineer
Deloitte US
Los Angeles, CA
AI & Engineering leverages cutting-edge engineer
Added 4 days ago
RR
IT Specialist (Data Engineer)
Railroad Retirement Board
Covina, CA
- $90,925 to $118,204 USD / year
…responsible for designing, building, and maintaining scalable data pipelines and infrastructure to collect, store, process, and deliver large datasets in support of the agency's…
Added 4 days ago
RR
IT Specialist (Data Engineer)
Railroad Retirement Board
Covina, CA
- $90,925 to $118,204 USD / year
…responsible for designing, building, and maintaining scalable data pipelines and infrastructure to collect, store, process, and deliver large datasets in support of the agency's…
Added 4 days ago
AI
Data Engineer - 1668
aKube Inc
Santa Monica, CA
- Up to $92.5 USD / hour
Added 5 days ago
Data Engineer II, Creator Services
Amazon
Culver City, CA
We are seeking a skilled Data Engineer to join our Data
Added 5 days ago
EW
Fabric and Data Engineer
East West Bank
Pasadena, CA
- $30 to $34 USD / hour
Added 6 days ago
J
Bilingual Senior Data Engineer
Jobot
Montebello, CA
- $65,000 to $90,000 USD / year
If you are a Bilingual (English/Mandarin) Senior Data Engineer and want to join a growing, tech-savvy E-Commerce company with a dynamic team then apply now!
Added 6 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 6 days ago
Data Engineer- Consultant AI& E
Deloitte US
Los Angeles, CA
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 7 days ago
Management Consultant - Data Engineer
IBM
LOS ANGELES, CA · Santa Monica, CA
Added 9 days ago
Data Engineer, Ring Agent Platforms
Amazon
Hawthorne, CA
We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will…
Added 12 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 12 days ago
ST
Data Engineer
Silvus Technologies, Inc.
Los Angeles, CA
- $110,000 to $150,000 USD / year
Added 14 days ago
UG
Senior Data Engineer
UnitedHealth Group
Cypress, CA
- $91,700 to $163,700 USD / year
…outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented…
Added 15 days ago
UT
Principal Data Engineer #26-27059
US Tech Solutions
Alhambra, CA
- $110 to $112 USD / hour
A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data…
Added 15 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 16 days ago
Senior Data Engineer (Enterprise Operations)
The Aerospace Corporation
El Segundo, CA

Closed listing

Data Engineer II

Deloitte US · Atlanta, GA, United States · Austin, TX, United States · Baltimore, MD, 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 · Hartford, CT, United States · Houston, TX, United States · Indianapolis, IN, United States · Jacksonville, FL, United States · Kansas City, MO, United States · Las Vegas, NV, 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 · New Orleans, LA, United States · NY, United States · Philadelphia, PA, United States · Pittsburgh, PA, United States · Portland, OR, United States · Raleigh, NC, United States · Richmond, VA, United States · Sacramento, CA, United States · San Antonio, TX, United States · San Diego, CA, United States · San Francisco, CA, United States · San Jose, CA, United States · Seattle, WA, United States · St. Louis, MO, United States · Stamford, CT, United States · Tampa, FL, United States · Tempe, AZ, United States · Tulsa, OK, United States

About employer

Closed listing

Deloitte US

Data Engineer II

Atlanta, GA, United States
Austin, TX, United States
Baltimore, MD, 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
Hartford, CT, United States
Houston, TX, United States
Indianapolis, IN, United States
Jacksonville, FL, United States
Kansas City, MO, United States
Las Vegas, NV, 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
New Orleans, LA, United States
NY, United States
Philadelphia, PA, United States
Pittsburgh, PA, United States
Portland, OR, United States
Raleigh, NC, United States
Richmond, VA, United States
Sacramento, CA, United States
San Antonio, TX, United States
San Diego, CA, United States
San Francisco, CA, United States
San Jose, CA, United States
Seattle, WA, United States
St. Louis, MO, United States
Stamford, CT, United States
Tampa, FL, United States
Tempe, AZ, United States
Tulsa, OK, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Closing date: Oct 30, 2026
Posting language: English
Posted: Oct 15, 2026

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Original job description

Archived listing. The details below describe a past opening.

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey. This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that meet client needs and extend our Human Capital service offerings. Recruiting for this role ends on 10/30/2026. Work you'll do The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support large language model (LLM)-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as retrieval-augmented generation (RAG), embeddings, vector search, and governed access to structured and unstructured data and work directly with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights. You will be part of a blended onshore/offshore delivery team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.

Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
Build and maintain scalable data pipelines, dashboards, and reporting frameworks using Structured Query Language (SQL) and Tableau (or equivalent visualization platforms).
Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
Support business development efforts including proposals, client presentations, and thought leadership content.
Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.

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 HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Qualifications

Required:

Bachelor’s degree in a Science, Technology, Engineering, and Mathematics (STEM) field (e.g., Computer Science, Engineering, Statistics, Data Science)
2+ years of experience in data science, data engineering, or analytics.
2+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
1+ years of experience with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
2+ years of experience using Python or R for statistical modeling and data wrangling, including proficiency in Databricks or Snowflake.
Ability to travel 0–25%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

Advanced degree, including a Master of Science (MS) or Doctor of Philosophy (PhD), and/or relevant certifications.
Direct experience in client-facing or consulting environments, with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle Human Capital Management (HCM), Salesforce), or in Human Resources (HR) data domains.
Experience operationalizing large language model operations (LLMOps) and machine learning operations (MLOps) capabilities, including evaluation, monitoring, governance workflows, and model/prompt/version management.
Cloud experience on one or more of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns.
Experience explaining complex data and technology concepts, articulating risks and trade-offs, documenting decisions, and collaborating across product, data science/ML, data engineering, platform, and security teams.
Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables - and ethics and privacy practices, including recognizing consent, personally identifiable information (PII), and bias boundaries and escalating appropriately.

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 $91,100 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #HCFY27`

About employer

More about this job

Skills

ML
Unstructured data
Data modelling
Presentation skills
Reporting
Use query languages
SQL
Tableau
Sales
Leadership
Work independently
Communication skills
Attention to detail
Interpersonal skills
Meet deadlines
Computer science
Statistics
Data engineering
Python
R
Databricks
Snowflake
Workday
SuccessFactors
Oracle
Salesforce
Machine learning
AWS
Microsoft Azure
Google Cloud

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