Senior Software Engineer, Data

Sidecar Health is redefining health insurance with a mission to make healthcare affordable and accessible for everyone. They are seeking a Senior Software Engineer to take ownership of building large-scale data pipelines and distributed systems that power their core product, focusing on end-to-end ownership of complex problems.

Responsibilities:

• Design and own high-throughput, distributed data pipelines and platform infrastructure from concept through production
• Decompose large, ambiguous initiatives into structured, executable plans that the team can move on in parallel
• Write production-grade Python — strongly typed, well-structured, and built to last — not scripts or notebooks
• Optimize SQL at scale: query tuning, data modeling, and understanding execution plans
• Architect across boundaries — defining contracts between frontend, backend services, and infrastructure
• Be a technical resource and mentor for junior engineers, and partner directly with leadership on roadmap and technical decisions
• Instrument systems for observability — knowing what to monitor, not just how to read a dashboard

Requirements:

• 5+ years of professional software engineering experience with full ownership of production systems
• Strong proficiency in Python (mypy, Pydantic, proper abstractions) and SQL at scale
• Deep experience building and operating distributed data pipelines and event-driven architectures
• Hands-on AWS experience: Lambda, SQS, IAM, CloudWatch, and cost-aware design
• Docker as a first-class practice
• Habitual, fluent use of AI tools (Claude, Cursor, etc.) as part of your daily workflow
• Observability experience with Datadog or equivalent
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Familiarity with FastAPI, Django, SQLAlchemy, Celery, or Infrastructure-as-Code (Terraform, CDK) is a strong plus