TetraScience, the Scientific Data and AI Cloud company, is seeking a Senior Platform and DataLake Engineer to join their team. This role is crucial in building and maintaining their data infrastructure, working with cross-functional teams to ensure seamless ingestion, processing, and storage of scientific data. The position requires extensive experience in building and supporting data pipeline infrastructure and hands-on experience in the Databricks ecosystem.
As a senior engineer, you'll be responsible for designing and optimizing data lake solutions, developing data pipelines within Databricks, and implementing data quality frameworks. The ideal candidate brings 8+ years of software development experience, particularly in data engineering, with expert-level knowledge of Python, Java, and TypeScript. Strong experience with AWS services and Lake House architecture is essential.
TetraScience is the category leader in their market, partnering with major players in compute, cloud, data, and AI infrastructure. They offer a comprehensive benefits package including 100% employer-paid benefits, unlimited PTO, 401K, and flexible remote working arrangements. The company emphasizes their unique culture through the "Tetra Way" and seeks candidates who align with their values and ethos.
This role offers an opportunity to work at the intersection of scientific data and AI, contributing to cutting-edge solutions while being part of a company that's driving innovation in scientific data management. The position combines technical expertise with the chance to work on meaningful projects that impact scientific research and development.