Data Engineer

Jellyfish

Data Engineer responsible for building, automating, and maintaining Jellyfish data platform pipelines. Collaborating with product developers and managing workflow orchestration for high performance data integrations.

Posted 5/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $205,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowBigQueryPythonSQLTerraform

About the role

Key responsibilities & impact

Write clean, modular Python and optimized SQL for data transformations.
Manage and tune workflow orchestration engines (like Prefect or Dagster).
Use Terraform for infrastructure deployment and management.
Collaborate with developers for API and caching integration.
Participate in incident response rotation for pipeline issues.

Requirements

What you’ll need

Solid, hands-on production experience with Python, advanced SQL, and data transformation concepts.
Comfortable building and scheduling workflows using programmatic orchestrators (such as Prefect, Dagster, or Airflow).
Knowledge of enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).
Ability to navigate environment boundaries and manage access keys securely.
Experience with automation mindset for data backfills, manual schema fixes, or data quality bugs.
Collaborative team player with readable code and thorough documentation.
Pragmatic problem-solving skills to optimize distributed processing jobs.

Benefits

Comp & perks

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ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLdata transformationworkflow orchestrationTerraformAPI integrationcaching integrationdata backfillsschema fixesdata quality

Soft Skills

collaborative team playerproblem-solvingreadable codethorough documentation