5 big data developer jobs at 3 companies in Oxnard, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOEBachelor's degree or equivalent experience, 5+ years big data engineering, experience with Databricks/Spark/Presto/Hive, strong Python/Scala and SQL, MPP/cloud DBs (Snowflake/Redshift/Big Query/Databricks), Airflow, CI/CD, AWS S3; on-call experience and strong communication.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOEBachelor's or equivalent experience, 5+ years big data engineering, strong Python/Scala/SQL, Spark/Presto/Hive, Databricks and cloud MPP databases, Airflow, AWS S3, CI/CD, on-call and production operations experience.
Data Engineer, Prime Video Global Brand & Marketing Insights
Culver City, California, United States
$101k-$160k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
2+ YOE2+ years data engineering experience; expertise in data modeling, warehousing, and ETL; proficiency with SQL and a scripting language (Python or KornShell); experience with BI tools; familiarity with big-data and AWS services preferred.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
Experience with big data application development using Python, Databricks, and Snowflake; familiarity with CI/CD, testing practices, and cloud (AWS). Bachelor’s degree in CS or related field or equivalent experience.
Harbor Freight Tools: Retailer of discount tools and power equipment.
2+ YOEBachelor's in CS/math/statistics/engineering, 2+ years ML engineering or data science experience in Big Data, experience with cloud (AWS/GCP/Azure), Python, SQL, PySpark, MLOps and CI/CD for model deployment and monitoring.