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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Collectors Universe, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $135,549.0 - $220,067.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, BigQuery, Software as a Service, Cloud Computing, Cloud Database, Code Review, Continuous Integration, Data Infrastructure, Data Warehousing, Python (Programming Language), Operational Databases, SQL Databases, Cloud Platform System, Data Ingestion, Claude Code, AI Coding Agents, Agentic-AI, Data Analytics, Google Bigquery, Data Management, Software Version Control, Serverless Computing - **Published:** October 7, 2026 - **Apply:** https://startup.jobs/senior-data-engineer-collectors-10350014 ## About the Role * An experienced data engineer with 5+ years building data platforms and pipelines in production, with a track record of independently owning and delivering complex projects. * Deeply skilled in the modern data stack. You have strong, hands-on experience with cloud data warehousing (BigQuery or equivalent), dbt, and modern ingestion tooling, and you can weigh the trade-offs of buying versus building. * A thoughtful designer. You build for scale, failure, and change, and you can clearly explain the trade-offs behind your design decisions, in writing and in person. * Fluent in AI-assisted development. You have real experience developing with Claude Code or a similar coding agent, and you treat it as a core part of how modern engineering gets done rather than a novelty. * Reliability-focused. You believe pipelines should be tested, observable, and boring - and you've put the tooling and practices in place to make that true for the systems you've owned. * Governance-aware. You understand access controls, auditability, and data-quality safeguards, and you apply them in ways that build trust in the numbers without slowing the team down. * A collaborative teammate. You make the people around you better through code review, knowledge sharing, and mentoring more junior engineers. * Technically fluent and a clear communicator. You're strong in SQL and Python, comfortable with version control, CI/CD, and testing workflows, and able to explain technical work to both engineers and non-technical stakeholders. * Comfortable with cloud infrastructure. You work beyond the data warehouse, managing serverless compute, storage, and secrets on a major cloud platform like GCP or AWS. * Curious about where the data stack is heading. You follow developments in lakehouse patterns and query engines and enjoy testing new ideas through hands-on work. ## Description 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. What You'll Do * 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, delivering well-modeled, well-governed data that agents and MCP connections can rely on for trustworthy answers. * Partner with analytics engineers, analysts, and stakeholders to understand data needs, unblock high-value use cases, and turn business requirements into durable platform capabilities. * Engineer tooling and services beyond the warehouse - building the APIs, automated jobs, and internal tools in Python that make the platform run smoothly and put data in more people's hands than SQL alone can reach. * Mentor and support other engineers through thoughtful code review, pairing, and knowledge sharing, helping raise the quality and consistency of the team's work. * Explore what's next for our warehouse, contributing to hands-on POCs on lakehouse patterns, open table formats, and alternative query engines.