Senior Software Engineer (Data Engineering)

TL;DR

Senior Software Engineer (Data Engineering): Building and maintaining core datasets and scalable data pipelines to support product analytics and financial reporting with an accent on system reliability and data modeling. Focus on designing robust ingestion patterns using Python, Spark, and Airflow to ensure high-quality data availability across the organization.

Location: Must be based in or able to commute to the Menlo Park, CA office (Hybrid: in-person attendance expected at least 3 days per week).

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

Company

A mission-driven fintech company focused on democratizing finance for all through innovation and reliable financial technology.

What you will do

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

Requirements

• 5+ years of professional experience in building end-to-end data pipelines.
• Proven software engineering experience writing production-level code in Python.
• Expertise in building large-scale pipelines using open-source frameworks like Spark or Flink.
• Strong SQL proficiency (Presto, Spark SQL).
• Ability to work across the data stack including infrastructure, analytics, and visualization.
• Must be able to work from the Menlo Park, CA office at least 3 days per week.

Culture & Benefits

• Performance-driven compensation including bonus programs and equity ownership.
• 100% paid health insurance for employees and 90% for dependents.
• Flexible lifestyle wallet for wellness and learning.
• 401(k) matching and employer-paid life & disability insurance.
• Generous time off including holidays, parental leave, and sick time.
• Intentional, collaborative in-office experience with catered meals.