Job Opportunities API

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 sp