Data Engineer

Jellyfish is the backbone for elite engineering organizations and our data pipelines need to be as high-performing and reliable as the teams we serve. We are looking for a Data Engineer to join our data platform team and help us execute automate and maintain the next generation of our Jellyfish data platform. In this role you’ll be a core builder—fully autonomous highly proficient and responsible for translating architectural blueprints into clean production-grade pipelines. If you view manual data patches and unmonitored workflows as bugs to be squashed and want to write code that directly impacts how the world’s best engineering leaders measure their output you’re the perfect fit.

• Core Pipeline Engineering – You’ll write the clean modular Python and optimized SQL that drives our daily data transformations. You will be responsible for implementing our Medallion-layer data models (Bronze → Silver → Gold) ensuring high performance and data integrity.

• Modern Orchestration & Tuning – You’ll manage and tune our workflow orchestration engines (like Prefect or Dagster). You’ll hunt down slow execution paths optimize parameter serialization (e.g. leveraging Pydantic v2) and ensure our distributed processing jobs run efficiently.

• Infrastructure as Code (IaC) – You won't just write data scripts; you'll own your infrastructure deployment. You will use Terraform to manage and provision data warehouse schemas permissions and tables across securely isolated staging and production catalogs.

• API & Caching Integration – You’ll collaborate with product developers to expose data safely. You’ll help implement and maintain the application backend tiers backend-for-frontend (BFF) layers and Redis caching structures that protect our core data warehouse from frontend concurrency spikes.

• On-Call & Pipeline Observability – You’ll participate in our data platform's incident response rotation. When a pipeline breaks you won't just fix the data; you’ll refine the Datadog dashboards and alerts to ensure we catch the issue earlier next time.

• Data Engineering Fluency – You have solid hands-on production experience with Python advanced SQL and data transformation concepts. You are comfortable building and scheduling workflows using programmatic orchestrators (such as Prefect Dagster or Airflow).

• Warehouse & Catalog Practitioner – You know your way around enterprise data platforms (e.g. Snowflake Databricks BigQuery). You understand how to navigate environment boundaries manage access keys securely and write performant queries.

• Automation Mindset – You look at a repeated data backfill a manual schema fix or an untracked data quality bug and immediately think about how to script a permanent automated solution.

• Collaborative Builder – You love working in a team. You write readable code value thorough documentation and clear data lineage and enjoy collaborating with application engineers to solve complex data delivery problems.

• Pragmatic Problem Solver – You know when to write a perfectly optimized distributed processing job and when a simple well-indexed database table or cached view is the smartest move to keep the business moving.

• You’ve worked in a rapidly scaling startup handling complex multi-tenant B2B SaaS data.

• You have experience with data quality testing frameworks (like Great Expectations or Soda).

• You’ve interacted with cloud cost allocation tracking or token-level spend for LLM/AI model integrations.

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 enables leaders to effectively build AI-integrated engineering teams align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working what’s not and how to build high-performing teams that know how to use AI the right way.

What We Do

Jellyfish is the leading Software Engineering Intelligence Platform helping more than 500 companies including DraftKings Keller Williams and Blue Yonder leverage Al to transform how they build software. By turning fragmented data into context-rich guidance Jellyfish enables better decision-making across Al use adoption planning developer experience and delivery so R&D teams can deliver stronger business outcomes.

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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