Senior Data Engineer: Build Scalable Pipelines for Finance

Robinhood; Menlo Park (CA); On-site; USD 187,000 - 198,000; Full time

Benefits offered by this job

100% paid health insurance for employees

Annual lifestyle wallet for personal wellness

Generous time away including paid time off

Job summary

A financial technology company is seeking a Senior Data Engineer in Menlo Park, CA. You'll build and maintain data pipelines that drive decision-making within the company. Ideal candidates have 5+ years of experience in data engineering and strong skills in Python and SQL. The role offers competitive compensation and a vibrant workplace culture, along with various benefits including health insurance and wellness programs.

Qualifications

• 5+ years of professional experience building end-to-end data pipelines.
• Hands-on experience writing production-level code in Python.
• Expertise in building large-scale data pipelines with open-source frameworks.

Responsibilities

• Define and build key datasets across all product areas.
• Build scalable data pipelines to move data into our data lake.
• Collaborate with engineering teams to enhance data generation.

Skills

Building end-to-end data pipelines

Software engineering in Python

Large-scale data pipeline maintenance

Strong SQL skills

Data stack problem-solving

Collaboration and insights democratization

Tools

Python

Spark

Airflow

Job description

A financial technology company is seeking a Senior Data Engineer in Menlo Park, CA. You'll build and maintain data pipelines that drive decision-making within the company. Ideal candidates have 5+ years of experience in data engineering and strong skills in Python and SQL. The role offers competitive compensation and a vibrant workplace culture, along with various benefits including health insurance and wellness programs.