Data engineer [h1.location_city]
[job_alerts.create_a_job]
Data engineer • orange ca
- [promoted]
Data Engineer
VirtualVocationsSanta Ana, California, United StatesEnergy Data Engineer / Analyst
TRANSGRID ENERGYIrvine, California, United StatesSoftware Engineer, Data
AndurilIrvine, California, United StatesData Engineer II
BDIrvine Laguna Canyon,USA CALead Data Engineer
AbbVieIrvine, California, USAData Engineer
eTeamIrvine, CAData Engineer
ReveelIrvine, California, United StatesData Engineer II
SchoolsFirst Federal Credit UnionTustin, CARemote Data Engineer
SynergisticITIrvine, CA, US- [promoted]
- [new]
Data Loss Prevention Engineer III
Capital GroupIrvine, CA, US- [promoted]
Lead Data Engineer
Allergan AestheticsIrvine, CA, USData Engineer II
GlidewellIrvine, CaliforniaCloud Data & AI Engineer
Osi DigitalIrvine, California, United States- [new]
Senior Data Engineer
Alignment Healthcare USA, LLCOrange, USData Engineer II
Glidewell DentalIrvine, California, United StatesData Engineer Manager
EnvistaCalifornia, Brea- [promoted]
Principal Data Engineer
AmericorIrvine, CA, USSoftware Engineer, Data
Anduril IndustriesIrvine, California, United States- [promoted]
Senior Big Data Engineer
TP-Link Systems Inc.Irvine, CA, USData Engineer
VirtualVocationsSanta Ana, California, United States- [job_card.full_time]
A company is looking for a Data Engineer (AI).
Key Responsibilities
Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and model fine-tuning projects
Design, build, and maintain scalable data pipelines to ingest, process, and store diverse healthcare datasets
Implement robust data validation, cleaning, and transformation processes to ensure high data quality and consistency
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field
Proven experience as a Data Engineer with a focus on big data technologies
Strong proficiency in programming languages such as Python, Scala, or Java
Extensive experience with data warehousing, ETL processes, and data modeling
Hands-on experience with cloud platforms like AWS, GCP, or Azure and their data processing services