Senior Data Engineer

Responsibilities

• Design and build a platform that is reliable, observable, and scalable.
• Drive the strategy behind our data architecture and tooling.
• Collaborate across the company with product, reporting, and platform teams to deliver the right data at the right time.
• Level up the organization by mentoring other engineers, establishing best practices, and contributing to a high-trust culture.
• Deliver incremental improvements, especially when things feel ambiguous or messy.
• Stay adaptable and flexible.

Requirements

• 6+ years of experience in data engineering or adjacent backend roles.
• Proven success building and scaling data pipelines, platform, and infrastructure.
• Deep knowledge of AWS and open-source data tools (e.g. Spark, Iceberg, Kafka, dbt, etc.).
• Comfortable balancing speed and quality: know when to build a prototype and when to build for scale.
• Excellent communication: drive communication and prioritization with other internal teams to determine their data tooling needs.
• Technical mentorship: help set the vision, explain technical decisions clearly, and bring others along.

Nice to Haves

• Proficiency in Python, SQL, and infrastructure-as-code (Terraform preferred).
• Prior experience working in a regulated environment (e.g., healthcare, finance).

Perks & Benefits

• Comprehensive Health Coverage: Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care.
• Mental Health Support: Weekly therapy reimbursement up to $100.
• Paid Parental Leave: Up to 12 weeks of fully paid time off for new parents.
• Financial Wellness: 401K (traditional & Roth), HSA & FSA options, and monthly commuter benefits for NYC employees.
• Time Off That Counts: Flexible PTO.
• Fitness Stipend: $100/month.
• Hybrid Flexibility: In NYC? We work in the office 3–5x/week, with flexibility when life happens. Fridays are remote-friendly.