Software Engineer, Sift

• Bachelor's degree in computer science, data science, engineering, math, physics, or STEM discipline
• 3+ 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 an early engineer at Sift, you won’t just write code—you’ll help define the architecture, shape the product, and influence the culture of a company focused on solving real engineering problems.
• If you’re looking for complex technical challenges and the opportunity to build foundational systems supporting complex machines from the ground up, we want to hear from you
• 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 help evolve and scale our platform because we're still in the early stages of building the product. Relevant technologies include:
• Web frontend & backend: ECharts, Go, gRPC, PostgreSQL, Protobuf, Radix, React, Redux, and TypeScript
• Data: Arrow, DataFusion, Flink, Parquet, and Rust
• Infrastructure: Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt