Job Description
My client is a well funded, global analytics startup, focusing on improving the environmental impact of essential technology in the electric/autonomous vehicle industry. They have raised <$7m Series A, have opened offices on both coasts, and into Western Europe.
I am looking for an accomplished Senior Data Engineer, with some startup experience, to join their growing East Bay office:
What You'll Do:
● Design and build scalable data processing pipelines from scratch, as well as maintaining existing services
● Design and build data access services and tools for analytics and ML
● Communicate complex data platform architecture to the Engineering team
● Provide visibility into the structure, state and performance of the data platform
● Ensure data confidentiality, integrity, and availability
What You'll Bring:
● Comprehensive experience designing, building, testing and deploying ETL data pipelines
● At least 10 years of combined experience with Scala, Java, or Python
● Proficiency with SQL queries and SQL performance analysis and tuning. Experience with Postgres a plus
● Working knowledge of one of: Tensorflow, Spark, Kafka or MapReduce
● Strong communication skills both verbal and written
● BS/MS in Computer Science, Mathematics, Statistics
● Experience with Cassandra or Redshift
● Working knowledge of ML tools and techniques a plus
On Offer:
Salary up to $180k + Equity + Outstanding Benefits
No Contract | No C2C | No Remote | No 3rd Parties | No Visa Sponsorship or Transfers
