Data Software Engineer, Sift

• We’re looking for high-performing engineers to lay the foundation of Sift
• You should be passionate about working closely with companies solving complex engineering challenges, including satellite constellations, renewable energy, and autonomous transportation
• Bachelor's degree in computer science, data science, engineering, math, physics, or STEM discipline
• 7+ years of experience in software engineering or data engineering
• Experience working with in-stream data processing and analytics using Apache Kafka, Flink, Beam, or similar
• Experience with relational and non-relational databases, e.g. PostgreSQL, Druid, Pinot, Timescale, or similar
• Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI, or similar
• Self-starter, able to navigate ambiguity and changing priorities
• Team player with excellent communication skills and a collaborative work ethic

Desirable

• As a founding engineer, you’ll shape the tech stack, product, and culture
• Design and build a horizontally scalable platform for ingesting millions of data points from hardware sensors per second and a robust and durable database solution for storing, reading, and analyzing those points
• Work closely with customers, including hardware engineers, to understand their problems and find efficient solutions
• Help define engineering culture, standards, and processes
• Collaborate with peers on architecture, design, and code reviews
• You’ll have the opportunity to heavily influence our stack because we’re still in the early stages of building the product. Relevant technologies include:
• Web frontend & backend: Go, React, TypeScript, WebAssembly, D3.js, WebGL, and Tailwind
• Data: Parquet, Flink, Kafka, Redpanda, Beam, DuckDB, Timescale, QuestDB, InfluxDB, and Druid
• Infrastructure: GitHub Actions, AWS, Azure, GCP, Docker, Kubernetes, and Terraform