Data Systems Engineer

Description:

As a Data Systems Engineer at [Stealth Startup], you will be responsible for architecting and building end-to-end features and tooling, deploying them to users, and ensuring they meet user needs with a delightful UX and performance.

• Innovate at the cutting edge of data infrastructure, considering high frequency, high volume, streaming data with transformation and alerting capabilities.
• Design and build scalable APIs to power a low-friction user experience while fetching and transforming massive volumes of data.
• Help grow the team by sourcing, interviewing, and onboarding new engineers.

We'd love to hear from you if you have

• Experience developing and deploying infrastructure for high scale distributed systems or complex internal tools.
• Excitement to be a foundational member of the early team building software tools to amplify the capabilities of remarkable hardware engineering teams.
• Interest in occasionally traveling to spend time with end-users on-site (e.g. rocket test stands, spacecraft clean rooms, automated manufacturing facilities).

Skills that supercharge us

We’re assembling a world-class software team and have experienced first hand that talented engineers can quickly learn and adapt to our stack. To get up to speed faster, it's great if you have experience with any of the technologies below, but it's not necessary. Bonus points if you have used any of them for something you can show us!

• Relevant data technologies: Apache Arrow, Flink, Beam, Kafka, D3.js, Superset, DuckDB, Plotly.js, TimescaleDB, QuestDB, Druid, Parquet, InfluxDB
• Modern languages and web technologies: Typescript, Next.js, Java, Wasm, WebGL, ZeroMQ, serverless functions, React hooks, Material UI, Postgres
• DevOps tools and infrastructure: AWS, k8s, EKS, Helm, FluxCD, Terraform