Lead Data Engineer

The Role We're looking for a Lead Data Engineer to own the data infrastructure that powers GXL's AI products (eg. Paperclip). You'll be responsible for designing, building, and maintaining the pipelines, warehouses, and systems that our research and products depend on. What You'll Do Design and maintain scalable ETL/ELT pipelines across structured and unstructured data sources Own database performance: schema design, indexing strategies, query optimization, and capacity planning Build and improve data warehousing infrastructure Establish and enforce data quality standards, validation frameworks, and monitoring Partner closely with research and product teams to understand data requirements and ship reliably Lead architectural decisions on new data systems What We're Looking For 2+ years of data engineering experience, with a track record of owning complex pipelines end-to-end Deep experience with ETL/ELT design patterns and tools Experience with at least one major cloud data warehouse Solid understanding of data modeling, normalization, and warehousing best practices Experience diagnosing and resolving performance bottlenecks at scale Comfort operating in ambiguous, fast-moving environments Nice to Have Experience in AI/ML infrastructure or working alongside model training pipelines Familiarity with vector databases or embedding pipelines Experience with streaming data General understanding of biotechnology industry Compensation 200k+, Offers Equity We do sponsor visas. While we can’t guarantee sponsorship for every candidate or role, if we make you an offer, we’ll make every reasonable effort to support your visa process. We partner with experienced immigration counsel to help facilitate sponsorship where possible. #J-18808-Ljbffr