Software Engineer, Data Infrastructure

Skills

About the Role

You will design, build, and operate the next generation of data infrastructure, scaling big data compute and storage platforms, high-throughput streaming systems and low-latency ingestion. You'll own the full lifecycle including production operations and on-call participation.

Requirements

• 4+ years in data infrastructure engineering, or 4+ years in infrastructure engineering with strong interest in data
• Experience supporting Spark, Kafka, Flink, Airflow, Trino, or Iceberg
• Familiarity with Terraform and debugging large-scale distributed systems
• Comfortable with ambiguity and rapid change

Responsibilities

• Design, build, and maintain data infrastructure systems such as distributed compute, orchestration, storage, streaming, and ML infrastructure
• Ensure the data platform scales by orders of magnitude reliably and efficiently
• Empower engineers with excellent data tooling and systems
• Collaborate with product, research and analytics teams
• Own reliability of systems including on-call rotation for critical incidents

Benefits

• Equity
• Medical, dental, and vision insurance with HSA employer contributions
• Health FSA, Dependent Care FSA, and commuter pre-tax accounts
• 401(k) with employer match
• Paid parental leave (up to 24 weeks birth parents, 20 weeks non-birthing parents)
• Paid medical and caregiver leave (up to 8 weeks)
• Flexible PTO for exempt employees
• 13+ paid company holidays and company office closures
• Paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation support
• Charitable donation matching and wellness stipends