Senior Data Engineer: Scalable Pipelines (Python/Spark)

Robinhood; Edison (CA); Hybrid; USD 196,000 - 230,000; Full time

Benefits offered by this job

Performance-driven compensation

100% paid health insurance for employees

Flexible benefits spending account

Time off to recharge

Job summary

Robinhood is seeking a Senior Data Engineer to design and build key datasets for product performance and company-wide metrics. The role requires in-person attendance at the Menlo Park, CA office at least 3 days a week. Responsibilities include developing scalable data pipelines and collaborating with engineers and data consumers to promote best practices in data engineering.

Ideal candidates will have over 5 years of experience in data pipeline development with strong programming skills in Python and large-scale data management.

Qualifications

• 5+ years of professional experience building end‑to‑end data pipelines.
• Hands‑on software engineering experience, writing production-level code in Python.
• Expert at building and maintaining large‑scale data pipelines.

Responsibilities

• Help define and build key datasets across all Robinhood product areas.
• Build scalable data pipelines using Python, Spark, and Airflow.
• Partner with upstream engineering teams to enhance data generation.

Skills

Building end-to-end data pipelines

Production-level Python programming

Large-scale data pipeline maintenance

Strong SQL skills

Expert collaboration

Tools

Python

Spark

Airflow

Job description

Robinhood is seeking a Senior Data Engineer to design and build key datasets for product performance and company-wide metrics. The role requires in-person attendance at the Menlo Park, CA office at least 3 days a week. Responsibilities include developing scalable data pipelines and collaborating with engineers and data consumers to promote best practices in data engineering.

Ideal candidates will have over 5 years of experience in data pipeline development with strong programming skills in Python and large-scale data management.