Benchling is revolutionizing biotechnology R&D with their innovative cloud platform that powers breakthrough scientific discoveries. As a Data Platform Engineer focusing on CDC & Search, you'll be at the forefront of building critical infrastructure that enables real-time scientific discovery.
The role combines deep technical challenges with meaningful impact on global health outcomes. You'll be responsible for architecting multi-tenant pipelines, developing change data capture (CDC) systems, and designing scalable, privacy-aware solutions that help scientists and researchers work more efficiently. With 10+ years of engineering experience required, you'll leverage your expertise in distributed data processing frameworks like Kafka, Debezium, Spark, and Flink to build robust data infrastructure.
The position offers a unique blend of technical complexity and mission-driven work. You'll be handling both data variety and scale challenges while working with deeply technical users - scientists with PhDs doing life-changing research. The collaborative environment emphasizes clean code, iterative development, and real ownership of technical solutions.
Working in a hybrid model (3 days on-site) in San Francisco, you'll join a team that values both technical excellence and mission impact. The compensation is competitive ($214,646 - $290,404) and comes with comprehensive benefits including medical coverage, 401(k) matching, parental leave, and professional development opportunities.
This role is perfect for experienced engineers who want to apply their data infrastructure expertise to meaningful scientific challenges. While biology background isn't required, curiosity and willingness to learn are essential. You'll be building the technical foundation that enables the next generation of scientific breakthroughs in biotechnology.