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JellyfishJellyfishUnited States

Staff Data Engineer

Staff Data Engineer building and scaling data pipelines, integrations, and workflow orchestration systems. Owns architecture, IaC strategy, and technical leadership across large-scale data infrastructure.

200k – 260k
Remote7+ YOEData Engineering

About the role

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

  • Deep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end.
  • 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.
  • Natural technical leader — you build consensus, unblock others, and make the engineers around you better.
  • 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

  • Thrived at a rapidly scaling startup and know how to balance speed with technical rigor.
  • Hands-on experience with Delta Lake and lakehouse architectures.
  • Built deep integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems) and have strong opinions about how to do it well.
  • Strong perspectives on how engineering teams work best — and the tools that help or hurt.

Skills

PythonTerraformCloudFormationPrefectAirflowDagsterDelta LakeAi/Llm IntegrationsInfrastructure As CodeWorkflow Orchestration
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