Senior Software Engineer - Data Platform

Responsibilities

• Design, develop, and operate foundational data services for storage, processing, orchestration, streaming, query federation, and real-time event aggregation.
• Build and maintain data integration and processing SDKs used by internal services and product teams.
• Deliver self-service applications for managing, monitoring, and troubleshooting data pipelines.
• Architect data security and observability services covering access controls, quality tracking, cataloging, lineage, and usage auditing.
• Partner with data analysts, ML engineers, and security and compliance teams to develop reusable data platform patterns and microservices.

Requirements

• At least 5 years of backend software engineering experience, including production experience building and operating data systems or pipelines.
• Proficiency in Python, Go, or Java for backend development and scalable data services.
• Experience with scale-out architectures, caching layers, key/value stores, and columnar storage systems.
• Production experience with SQL, Airflow, Spark, Kafka, or similar data processing and orchestration frameworks.
• Experience with data security, access control, or data observability systems, including cataloging, lineage, or quality monitoring.
• Ability to use generative AI responsibly with human oversight to improve workflow efficiency, cost, and quality.

Benefits

• Remote-first, but not remote-only work arrangement, with quarterly in-person working sessions called surges.
• Medical, dental, vision, 401(k), equity eligibility, and bonus eligibility are available in addition to base salary.