Senior Data Engineer

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We’re always on the lookout for talented people to join our growing team. Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder. Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, Shanghai, Hong Kong, Canada, Mexico, Germany, the UK, and France. As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process. We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have. We're transforming the collecting experience with technology that brings authentication, grading, and trading into the modern era. Our products are equalizing the playing field by providing tools that make complex research analytics — including pricing, scarcity reports, and historic sales data — accessible to every collector, old or new. Our engineering mission is to democratize technology while promoting innovation, collaboration, and continuous learning throughout the organization. We're looking for a Senior Data Engineer to help build and scale our data platform. This is a hands-on IC role: you'll design, build, and own the pipelines that move data across the business, contribute to the architecture of the platform, and help create the foundations that our analytics, reporting, and AI agents depend on. You'll report to the Staff Manager, Data Engineering & Analytics. Remote or hybrid candidates will also be considered. We believe that there is significant value in in-person collaboration. If you live within a 1 hour commuting distance to one of our offices, you will be required to be onsite most of the time. This will be discussed further as part of the recruiting process.

Build and own key components of our data platform , spanning ingestion (Hevo, Estuary), our Google BigQuery warehouse, and the dbt transformation layer — delivering systems that are scalable, reliable, and secure. Contribute to architecture and technical direction , writing design docs, participating in design reviews, and working closely with senior technical leaders to shape how the platform evolves. Design and maintain data ingestion pipelines , building batch and CDC pipelines across a diverse set of sources — operational databases, SaaS applications, and ERP systems — and evaluating tooling options with a clear, well-reasoned perspective. Develop end-to-end with AI coding agents . Our teams build with Claude Code and similar tools, and you'll use them daily while helping refine the practices and guardrails that keep AI-assisted engineering fast, safe, and high-quality. Improve reliability and observability , implementing testing, monitoring, alerting, and on-call practices so data lands on time, is trusted, and failures are caught before stakeholders notice. Implement governance and controls , applying access models, auditability, and operational rigor across the pipelines and datasets you own. Help build the foundations for agentic analytics ,