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.

$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.

• 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

• 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

• 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)

• Mid-Senior level

• Full-time

• Information Technology

• Software Development