Jellyfish
Staff Data Engineer
Remote - US · Staff+
No sponsorshipDetected 29 days ago
PythonGitTerraformCI/CDAirflowData EngineeringLLMsAI OrchestrationJiraLeadershipMentoring
About the role
- About Jellyfish Jellyfish is rewriting the manual on how high-performing engineering teams actually work within an AI world.
- We love to have fun and win in the process.
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
- Lead the design and implementation of data export pipelines that serve diverse customer needs
- 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
- Expert Python engineer with strong opinions about how to build reliable, maintainable systems at scale
- Experienced with AI/LLM tool integrations (Claude, Copilot, etc.) and understand the unique infrastructure demands they create
- A natural technical leader - you build consensus, unblock others, and make the engineers around you better
- Exceptional communicator who can write a design doc, lead a review, and distill a complex tradeoff for any audience
Requirements
- You have production experience with workflow orchestration tools (Prefect, Airflow, Dagster) and can make the hard architectural calls
- Occasional travel may be required.
Nice to have
- 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
- Jellyfish is rewriting the manual on how high-performing engineering teams actually work within an AI world.
- Ideally, you combine deep hands-on expertise with the ability to influence architecture and direction across teams.
Benefits
- Bonus points if:
Visa & Work Authorization
- Applicants must be authorized to work for any employer in the US.
Apply directly at Jellyfish →Create a free account for alerts like thisView Jellyfish immigration profile
This listing is sourced directly from Jellyfish's careers page and normalized into a canonical job model.