Founding Software Engineer - Data Platform

Arlo • New York, NY

61d • $200,000 - $220,000 • Onsite

About The Position

As the Founding Software Engineer on our Data Platform team at Arlo, you will build the foundation for our ML-driven health insurance quoting system. You'll design and implement the entire data infrastructure that powers our core product, working at the intersection of data engineering and machine learning operations.

Requirements

• 3+ years of experience as a backend engineer, data engineer, or software engineer with exposure to data pipelines and large-scale infrastructure.
• Strong understanding of data structures, algorithms, and scalable system design.
• Demonstrated ability to design secure, robust, and scalable infrastructure for data and backend systems.
• Hands-on experience with big data tools (e.g., Spark) and pipeline orchestration platforms (e.g., Dagster, Airflow, Prefect).
• Proficiency in a backend programming language like Python and solid SQL skills for querying and database design.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services.

Responsibilities

• Design and build scalable data pipelines that process billions of healthcare claims records
• Develop robust ETL workflows to ingest, normalize, and transform medical data from multiple sources
• Create infrastructure for real-time ML inference serving hundreds of millions of predictions
• Build developer tooling to accelerate the work of our data scientists and ML engineers
• Architect and implement monitoring systems to ensure data quality and model performance
• Optimize PySpark code for feature construction to improve performance and efficiency

Benefits

• High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company.
• Join an important mission: Your work directly influences how people access care and improves lives at scale.
• Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity.
• Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare.
• High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed