Senior/Staff Data Engineer

Qualifications 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 Key Responsibilities 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 Experience designing and building large-scale, distributed systems or web applications using Go, Python, or an equivalent language Location The Sift team is based in Los Angeles (El Segundo). We collaborate in person two times per week, Monday and Thursday. We work closely with hardware companies, many of which are based in LA, building everything from autonomous vehicles to spacecraft. As a customer‑centric company, being nearby for site visits and collaboration is essential. Benefits New hire stock equity Hybrid workplace Free lunch, snacks, & coffee Top‑tier health insurance: Medical, Vision, Dental #J-18808-Ljbffr Novatalent