Senior Data Engineer

Jellyfish

Senior Data Engineer at Jellyfish responsible for building and maintaining high-performing data pipelines. Collaborate closely with team to optimize data infrastructure and delivery.

Posted 5/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $190,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowBigQueryPySparkPythonSQLTerraform

About the role

Key responsibilities & impact

Maintain end-to-end data pipelines using Python and SQL.
Migrate, optimize, and maintain workflow orchestration engines.
Build the "paved road" for data deployments using Terraform.
Collaborate with product developers for API and caching integration.
Participate in data platform's incident response rotation.

Requirements

What you’ll need

Solid, production-level experience with Python, advanced SQL, and data transformation frameworks (like dbt or PySpark).
Experience with programmatic orchestrators (such as Prefect, Dagster, or Airflow).
Familiarity with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).
Understanding of managing access keys securely and writing performant queries.
Automation mindset for scripting permanent solutions.
Collaborative approach and strong documentation skills.
Pragmatic problem-solving abilities.

Benefits

Comp & perks

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Hard Skills & Tools

PythonSQLdata transformation frameworksdbtPySparkworkflow orchestration enginesTerraformAPI integrationcaching integrationperformant queries

Soft Skills

collaborative approachstrong documentation skillspragmatic problem-solvingautomation mindset