Staff Software Engineer, Data Platform

What you'll do

• Design scalable, reliable data infrastructure and high-performance processing and storage systems.
• Implement data validation, monitoring, and observability to support data quality and platform reliability.
• Collaborate across engineering, data science, and operations; guide architecture and mentor team members.

What they ask for

• Proficiency in Python and at least one systems-level language (Go preferred; Java, C, or C++ also valued).
• Experience designing and building data platforms, including warehouses, lakes, streaming systems, and ETL/ELT frameworks; knowledge of distributed systems.
• Advanced SQL skills and familiarity with CI/CD, containerization, and infrastructure automation.
• Bachelor’s degree (or foreign equivalent) in a related technical field, and 5+ years of progressive, post-baccalaureate experience in software engineering, data infrastructure engineering, or a related role.

Nice to have

• Experience with Google Cloud Platform (GCP) data services, Apache Beam, or data orchestration tools such as Airflow, Dagster, or Prefect.
• Background in AI/ML or cloud infrastructure, early-stage data teams, or real-time processing and streaming architectures.

Pay

$215,000 - $260,000 USD base salary; Bonus amount not stated

Tools

Python, Go, Java, C, C++, SQL, Google Cloud Platform (GCP), Apache Beam

AI focus

Build data platform infrastructure that supports analytics, machine learning, AI infrastructure, and cloud operations.