Jellyfish
Data Engineer
Remote - US
No sponsorshipDetected 55 days ago
PythonSQLRedisBigQuerySnowflakeDatabricksTerraformDatadogAirflowData EngineeringLLMsAI OrchestrationIncident ResponsePipeline Integrity
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.
- 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.
Responsibilities
- Core Pipeline Engineering - You'll write the clean, modular Python and optimized SQL that drives our daily data transformations.
- 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.
- You are comfortable building and scheduling workflows using programmatic orchestrators (such as Prefect, Dagster, or Airflow).
- You understand how to navigate environment boundaries, manage access keys securely, and write performant queries.
Requirements
- Data Engineering Fluency - You have solid, hands-on production experience with Python, advanced SQL, and data transformation concepts.
- You have experience with data quality testing frameworks (like Great Expectations or Soda).
Company info
- 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.
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.