Jellyfish
Senior Data Engineer
Remote - US · Senior
No sponsorshipDetected 55 days ago
PythonSQLRedisBigQuerySnowflakeDatabricksTerraformCI/CDAirflowdbtData EngineeringLLMsAI OrchestrationIncident Response
About the role
- 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.
- If you view broken pipelines and manual data patches as a technical debt to be solved and want to write code that directly impacts how the world's best engineering leaders measure their output, you're the perfect fit.
- You are highly comfortable working with programmatic orchestrators (such as Prefect, Dagster, or Airflow). - Warehouse & Catalog Practitioner - You know your way around enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).
Responsibilities
- Working closely with our Lead Data Architect, you'll be responsible for implementing core data models, building production-grade CI/CD for data pipelines, and transforming raw engineering signals into highly optimized analytical layers.
- You understand how to safely navigate environment boundaries, manage access keys securely, and write performant queries that don't balloon the cloud bill.
Requirements
- Data Engineering Fluency - You have solid, production-level experience with Python, advanced SQL, and data transformation frameworks (like dbt or PySpark).
Company info
- We are looking for a Senior Data Engineer to help us build, automate, and execute the next generation of our Jellyfish data platform.
Visa & Work Authorization
- Applicants must be authorized to work for any employer in the US.
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This listing is sourced directly from Jellyfish's careers page and normalized into a canonical job model.