Staff Data Engineer: Scale AI Data Pipelines & Infra

Jellyfish; United States; On-site; USD 200,000 - 260,000; Full time

Job summary

Jellyfish is seeking a passionate Staff Data Engineer to define and implement our data infrastructure and integration patterns. This role involves driving the technical strategy across large-scale systems and mentoring engineers. Ideal candidates will have deep expertise in building data pipelines and robust AI-driven workflows.

The compensation for this position ranges from $200K to $260K, and candidates should be located in the EST or CST time zone. Additional perks may include occasional travel.

Qualifications

• Deep expertise in building and scaling data pipelines and owning complex data infrastructure.
• Expert Python engineer capable of designing reliable systems.
• Production experience with workflow orchestration tools like Prefect and Airflow.

Responsibilities

• Define architecture and technical direction for data pipelines.
• Drive integrations with third-party tools.
• Lead design reviews and mentor engineers.

Skills

Data pipeline architecture

Python engineering

Infrastructure as code

AI/LLM tool integrations

Workflow orchestration tools

Technical leadership

Tools

Terraform

CloudFormation

Prefect

Airflow

Dagster

Job description

Jellyfish is seeking a passionate Staff Data Engineer to define and implement our data infrastructure and integration patterns. This role involves driving the technical strategy across large-scale systems and mentoring engineers. Ideal candidates will have deep expertise in building data pipelines and robust AI-driven workflows.

The compensation for this position ranges from $200K to $260K, and candidates should be located in the EST or CST time zone. Additional perks may include occasional travel.