Staff Data Engineer
About Jellyfish Jellyfish is rewriting the manual on how high-performing engineering teams actually work within an AI world. We're seeking a Staff Data Engineer who's passionate about building and scaling robust data infrastructure, defining integration patterns, and driving technical strategy across large-scale systems. Ideally, you combine deep hands-on expertise with the ability to influence architecture and direction across teams. This is a high-agency role where you'll help shape not just what gets built, but how we build it — and raise the bar for the engineers around you.
What You'll Do
Define the architecture and long-term technical direction, design and implementation of our data pipelines and integrations platform for storage, transformation and export at scale. Drive integrations with third-party tools and establish the standards that make future integrations faster and more reliable Own our infrastructure as code strategy using Terraform, and contribute to how we evolve our cloud data infrastructure Architect workflow orchestration systems for near-real-time and batch data processing, with a focus on reliability and scalability Lead the design and implementation of data export pipelines that serve diverse customer needs Spearhead development of internal tooling and agentic workflows that meaningfully accelerate engineering velocity across the org Serve as a technical anchor — leading design reviews, mentoring engineers, and elevating how the team approaches complex problems Partner with engineering leadership on roadmap prioritization, cross-team dependencies, and org-wide technical strategy Communicate clearly about technical decisions, tradeoffs, and project status to both engineers and non-technical stakeholders About You You have deep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end — not just contributing to it AI - driven developer who dives deep into AI first workflows Expert Python engineer with strong opinions about how to build reliable, maintainable systems at scale Designed and led large-scale third-party API integration work, and you know what separates a maintainable integration from a brittle one Fluent in infrastructure as code (Terraform, CloudFormation, or similar) and think about infrastructure as a product, not an afterthought Experienced with AI/LLM tool integrations (Claude, Copilot, etc.) and understand the unique infrastructure demands they create You have production experience with workflow orchestration tools (Prefect, Airflow, Dagster) and can make the hard architectural calls A natural technical leader — you build consensus, unblock others, and make the engineers around you better You think in systems: you consider user needs, business impact, and long-term maintainability when designing solutions Exceptional communicator who can write a design doc, lead a review, and distill a complex tradeoff for any audience Located in EST or CST time zone Bonus points if: You've thrived at a rapidly scaling startup and know how to balance speed with technical rigor You have hands-on experience with Delta Lake and lakehouse architectures You've built deep integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems) and have strong opinions about how to do it well You bring strong perspectives on how engineering teams work best — and the tools that help or hurt A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must. Occasional travel may be required. Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time. Let’s talk about us! This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.