Jellyfish jobs

Jellyfish is hiring a Staff/Lead Data Architect to design and scale the next generation of their data platform, which serves engineering leaders and productivity measurement. You'll own the architectural blueprint for modernizing their data infrastructure—refactoring pipelines into efficient patterns, automating environment isolation to prevent data mishaps, optimizing orchestration and compute scaling, and building cost-attribution and observability systems that map spend down to individual tenants or users. Required experience includes production-level fluency with Python, advanced SQL, programmatic orchestrators (Prefect, Dagster, Airflow), modern data warehouses (Snowflake, Databricks, BigQuery), and hands-on mastery of data governance and cataloging at enterprise scale; you should also have an automation-first mindset and be comfortable with Infrastructure-as-Code. Jellyfish is a B2B SaaS company helping organizations build AI-integrated engineering teams—experience in rapidly scaling multi-tenant SaaS and strong opinions on data versioning tools like Iceberg are bonuses. The role requires US work authorization with no visa sponsorship available, and occasional travel may be required; the company emphasizes humility, performance, and humor alongside technical excellence.

Jellyfish, a B2B SaaS platform helping engineering leaders measure and optimize team performance, is hiring a Data Engineer for its data platform team. You'll build and maintain production Python and SQL pipelines using the Medallion architecture, manage workflow orchestration (Prefect/Dagster), own infrastructure-as-code with Terraform, integrate caching and APIs, and participate in on-call rotations with a focus on observability. Required experience includes hands-on production work with Python, advanced SQL, programmatic orchestrators, and enterprise data platforms (Snowflake, Databricks, BigQuery); you should have an automation mindset and enjoy collaborating across teams. Bonus points for scaling startup experience, data quality testing frameworks, or LLM/AI cost tracking exposure. The role emphasizes pragmatism, humility, and team dynamics—you need to know when to build a sophisticated distributed job versus a simple indexed table. US work authorization required; no visa sponsorship available, and occasional travel may be needed.

Jellyfish seeks a Senior Data Engineer to build and maintain production-grade data pipelines using Python, SQL, and orchestration tools (Airflow, Prefect, Dagster). The role focuses on ETL/ELT, data warehouse management (Snowflake/Databricks), CI/CD for data, and observability. Fully remote, US-based, $190k–$240k. Requires deep expertise in Python, advanced SQL, dbt/PySpark, and data platform architecture.