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.

Responsibilities

• 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

Skills

• 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
• 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
• Authorized to work for any employer in the US
• 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

Benefits

• Offers Equity

Company Overview