Senior Data Engineer (Fintech)

TL;DR

Senior Data Engineer (Fintech): Building and maintaining foundational datasets and scalable pipelines to power decision-making across the organization with an accent on data quality, reliability, and system performance. Focus on designing intuitive data models, developing scalable ingestion processes using Python and Spark, and promoting engineering best practices.

Location: Must be based in the US, with in-person attendance required at least 3 days per week in Menlo Park, CA (or other designated office hubs).

Salary: $153,000 – $230,000 USD (based on location zone).

Company

A financial services platform dedicated to democratizing finance for all through innovative technology.

What you will do

• Define and build key datasets across all product areas.
• Develop scalable data pipelines using Python, Spark, and Airflow.
• Partner with engineering teams to enhance data generation patterns.
• Collaborate with data consumers to design intuitive, well-documented data models.
• Contribute to shared data engineering tooling and standards.
• Promote data engineering best practices across the company.

Requirements

• 5+ years of professional experience building end-to-end data pipelines.
• Hands-on software engineering experience with production-level Python code.
• Expertise in building large-scale data pipelines using open source frameworks like Spark or Flink.
• Strong SQL skills (Presto, Spark SQL).
• Experience solving problems across the data stack including infrastructure and analytics.
• Must be able to work in-person at least 3 days per week in a designated office location.

Culture & Benefits

• Performance-driven compensation including bonus programs and equity ownership.
• 100% paid health insurance for employees and 90% for dependents.
• 401(k) matching and flexible lifestyle spending account.
• Employer-paid life and disability insurance, fertility, and mental health benefits.
• Generous time off including company holidays, PTO, and parental leave.
• Exceptional office experience with catered meals and collaborative workspaces.