[Remote] Staff Data Engineer

Note: The job is a remote job and is open to candidates in USA. Jellyfish is a company focused on enhancing engineering teams with AI integration. They are seeking a Staff Data Engineer who will build and scale data infrastructure, define integration patterns, and drive technical strategy across large-scale systems.ResponsibilitiesDefine the architecture and long-term technical direction, design and implementation of our data pipelines and integrations platform for storage, transformation and export at scaleDrive integrations with third-party tools and establish the standards that make future integrations faster and more reliableOwn our infrastructure as code strategy using Terraform, and contribute to how we evolve our cloud data infrastructureArchitect workflow orchestration systems for near-real-time and batch data processing, with a focus on reliability and scalabilityLead the design and implementation of data export pipelines that serve diverse customer needsSpearhead development of internal tooling and agentic workflows that meaningfully accelerate engineering velocity across the orgServe as a technical anchor — leading design reviews, mentoring engineers, and elevating how the team approaches complex problemsPartner with engineering leadership on roadmap prioritization, cross-team dependencies, and org-wide technical strategyCommunicate clearly about technical decisions, tradeoffs, and project status to both engineers and non-technical stakeholdersSkillsDeep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end — not just contributing to itAI - driven developer who dives deep into AI first workflowsExpert Python engineer with strong opinions about how to build reliable, maintainable systems at scaleDesigned and led large-scale third-party API integration work, and you know what separates a maintainable integration from a brittle oneFluent in infrastructure as code (Terraform, CloudFormation, or similar) and think about infrastructure as a product, not an afterthoughtExperienced with AI/LLM tool integrations (Claude, Copilot, etc.) and understand the unique infrastructure demands they createProduction experience with workflow orchestration tools (Prefect, Airflow, Dagster) and can make the hard architectural callsA natural technical leader — you build consensus, unblock others, and make the engineers around you betterYou think in systems: you consider user needs, business impact, and long-term maintainability when designing solutionsExceptional communicator who can write a design doc, lead a review, and distill a complex tradeoff for any audienceLocated in EST or CST time zoneAuthorized to work for any employer in the USYou've thrived at a rapidly scaling startup and know how to balance speed with technical rigorYou have hands-on experience with Delta Lake and lakehouse architecturesYou've built deep integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems) and have strong opinions about how to do it wellYou bring strong perspectives on how engineering teams work best — and the tools that help or hurtBenefitsOffers EquityCompany OverviewJellyfish is an engineering management platform specializing in business alignment, DevOps, and data science services. It was founded in 2017, and is headquartered in Boston, Massachusetts, USA, with a workforce of 201-500 employees. Its website is http://jellyfish.co.