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 is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance.
Skills Required
- Deep expertise building and scaling data pipelines and owning complex data infrastructure end-to-end
- Expert Python engineering skills for building reliable, maintainable systems at scale
- Designed and led large-scale third-party API integration work (maintainable, reliable integrations)
- Fluent in infrastructure as code (Terraform, CloudFormation, or similar)
- Production experience with workflow orchestration tools (Prefect, Airflow, Dagster)
- Experience integrating AI/LLM tools (e.g., Claude, Copilot) and understanding their infrastructure demands
- Ability to lead architecture, design reviews, mentor engineers, and drive technical strategy across teams
- Exceptional written and verbal communication; able to write design docs and explain technical tradeoffs to non-technical stakeholders
- Located in EST or CST time zone
- Authorized to work for any employer in the US; employer cannot sponsor visas
- Hands-on experience with Delta Lake and lakehouse architectures
- Experience building integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems)
- Experience at rapidly scaling startups and balancing speed with technical rigor
What the Team is Saying
Jellyfish Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, with top‑tier medical and dental, mental‑health support, transgender care, abortion‑travel benefits, and company‑paid short‑ and long‑term disability. Additional options like vision and supplemental coverages, plus pet insurance and FSAs, further extend protection.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, and paid sick and bereavement leave—combined with a remote‑friendly setup—support time away and balance. While usage can vary by team norms, the policy framework is positioned to enable meaningful time off.
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Parental & Family Support — Paid parental leave is offered along with family supports such as family medical leave, an onsite Mother’s Room, parent communities, and company‑sponsored family events. These elements indicate tangible backing for caregivers across different life stages.
Jellyfish Insights
What We Do
Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance.
Why Work With Us
Are you fueled by innovation and energized by challenges? At Jellyfish, every day is a chance to make an impact, and do the work that matters most. We solve meaningful challenges that shape how engineering organizations operate. We are committed to cultivating a Jellyverse where everyone can do their best work, creating a place where we all thrive.
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Jellyfish Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are remote first with employees located throughout the US. Jellyfish does have a Boston office for those that wish to collaborate in person.
