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Senior Data Engineer
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 5+ years
- Posted
- 2026-07-28T11:10:07-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Banking
- Education
- Engineering
- Finance
- Insurance
Benefits & Perks
also eligible for a comprehensive benefits package and annual bonus program. US Pa
Requirements
5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.
Advanced Software Engineering (Python):
Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.
Data Modeling & SQL Mastery:
Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.
Infrastructure & Automation:
Responsibilities
Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.
Pipeline Architecture:
Design, build, and scale ELT pipelines that are resilient, efficient, and modular.
Cross-Functional Collaboration:
Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.
Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.