TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. As a Senior Platform and Data Lake Engineer, you'll be instrumental in building and maintaining our data infrastructure. The role focuses on working with cross-functional teams to ensure seamless ingestion, processing, and storage of scientific data.
The company values transparency, trust, collaboration, fearlessness, and resilience. They are committed to customer success and maintaining equality of opportunity in their workforce. The role requires extensive experience in the Databricks ecosystem and building data pipeline infrastructure.
You'll be responsible for designing and optimizing data lake solutions, developing workflows within Databricks, and implementing data quality frameworks. The ideal candidate should have 8+ years of software development experience, expert-level knowledge of Python, Java, and TypeScript, and deep understanding of Lake House architecture.
The position offers comprehensive benefits including 100% employer-paid benefits for employees and family, unlimited PTO, 401K, and flexible remote work arrangements. The company provides an environment focused on continuous improvement and professional growth.
TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise to accelerate and improve scientific outcomes. They're catalyzing the Scientific AI revolution through AI-native scientific data sets and next-generation lab data management products.