Big Data Engineer

This range is provided by OSI Engineering. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $80.00/hr - $95.00/hr A globally leading consumer device company based in Mountain View, CA is seeking a talented Data Engineer to help build secure, scalable cloud services that power the world’s best-selling mobile devices. As part of the Knox Cloud Team , you’ll play a key role in transforming research projects into production-ready cloud platforms and service infrastructures. We’re looking for world-class server software engineers with strong expertise in Big Data infrastructure and data warehousing to join our innovative technology group driving the rapid development of AI-powered, cloud-based, end-to-end mobile applications and services. Responsibilities Include: Implement, maintain and evolve big data platform and infrastructure Responsible for designing, implementing and maintaining backend REST API Services and ETL processes for Predictive Data Modeling, Machine Learning, Personalization, Recommendation, and Business Intelligence system Perform extensive research and analysis to make optimal architecture and design decisions Write large amounts of code, perform code reviews, write unit tests and documentation Interface with other groups including Product Management, QA and Operations Work in a scrum team with ML & Cloud Engineers Candidate Requirements: Hand-on experience in Big Data technologies like Apache Iceberg (a must-have), Spark, Spark ML, & Kafka Strong skills in statistical analysis: correlation analysis, regression analysis, univariate and multivariate analysis Strong skills in algorithms, Data structures, UNIX/Linux, Scripting, Machine Learning (especially classification and unsupervised clustering), Data Modeling, Data warehousing, and Networking Hands-on experience in building REST API’s Team player with strong communication skills and ability to mentor ML & Cloud engineers in areas of Data Engineering Desire to learn fast and pick up latest and greatest technologies MS in Computer Science or equivalent experience Preferred: Data Quality tools such as Monte Carlo, Great Expectations, or Databand Experience with teams using MLflow Type: Contract Duration: 12 months with extension Work Location: Mountain View, CA (on-site) Pay range: $80.00 - $95.00 (DOE) Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Software Development #J-18808-Ljbffr