Job Description

Company Summary

My client is the modern platform for battery science. They provide battery and clean technology companies the core data platform they need to innovate, securely at scale.

They're a well-funded, VC-backed start-up with customers and recurring revenue. We’re backed by world-class investors like Y Combinator, Giant Ventures and Collaborative Fund, and angels such as founders of Zendesk and Voi, and executives from Google, Meta and Figma.

The platform operates in battery labs across three continents and our reach is growing rapidly, which presents career-defining opportunities for ambitious engineers to accelerate their growth and contribute to a quickly evolving startup in SF. You’ll be joining our in-person team of engineers and physicists with backgrounds from U. Cambridge, Georgia Tech, U. Waterloo and other YC start-ups.

Your Mission

• You’ll take ownership for delivery and maintenance of a secure, scalable, reliable data pipeline that can support 100+ TB data processed / year.
• You’ll take ownership for management, operation and improvement of our associated cloud infrastructure.
• You’ll take ownership for integration of new customer data for 25-50 new businesses.
• For the right candidate, this role has potential to develop into a Head of Engineering leadership role.

We might be a fit for you if:

• You have previously built and delivered a reliable, scalable data pipeline for processing large amounts of data.
• Extreme ownership mentality - you own problems end-to-end and you’ll leverage all your resources to get the job done.
• You’re a team player. You have a humble attitude, you take actions to help your colleagues, and you want to do whatever it takes to make the team succeed. You’re reliable on delivering on technical milestones.
• You communicate effectively and respectfully. You pay attention to details. You express ideas clearly, you listen with curiosity. You are not afraid to communicate what is working and what needs to improve.
• You set an exceptionally high performance bar for yourself and everyone on the team.

Technical Qualifications

• BS or MS in Computer Science, Engineering, or a related field.
• You have experience owning the production, operations and reliability of a data pipeline.
• You have 3+ years experience in ETL processes, data modeling, and data engineering best practices.
• You have experience with streaming technologies (e.g. Spark, Flink, Google Pub/Sub, Kafka, Amazon Kinesis)
• You have experience with NoSQL and distributed database technologies (e.g. Cassandra, HBase, DynamoDB, BigTable, ClickHouse)
• You are well-versed with cloud environments such as AWS, Azure, and GCP, associated cloud storage technologies (S3, GCS) and Kubernetes-based orchestration.

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