Data Engineer

Description

The company's data engineering team is hiring an experienced data engineer with strong SQL and Python skills and solid data modeling knowledge.

You will work at the center of the company's data ecosystem, leading cross-engineering initiatives and projects and building high-quality data pipelines and models that inform decisions across the organization.

You will help keep data quality high, build systems that scale, and give cross-functional teams clean, accurate, usable data.

This role is onsite at the New York City office 4 days a week. The company does not provide immigration support.

Responsibilities

• Build and optimize data services for company products such as FeatureStore and synthetic data management.
• Partner with data analysts, data scientists, engineers and other cross-functional teams to define data needs and deliver strong solutions.
• Add LLM and agent-based capabilities to data platforms and services, supporting smarter data operations and AI-driven data products.
• Design, develop and tune scalable pipelines so data is clean, accurate and ready for analysis.
• Create and maintain solid data models for clinical, business intelligence and operational use.
• Set and enforce data quality standards, monitoring and best practices across systems and pipelines.
• Run large-scale data storage and processing systems so they stay reliable and fast.

Requirements

• 5+ years as a Data Engineer or Backend Engineer, with a strong focus on data processing.
• Proven experience using Python to build services, solutions, data pipelines, automations and integration tools.
• Deep SQL skills, including complex queries, performance tuning and work with large datasets.
• Strong grasp of data modeling principles for relational and dimensional structures.
• A real commitment to data quality and to making business-critical data trustworthy.
• Nice to have: cloud platform experience (AWS, GCP or Azure) for data engineering and storage.
• Nice to have: experience with data orchestration tools such as Airflow.
• Nice to have: understanding of CI/CD practices and version control systems.
• Nice to have: experience with Kubernetes.
• Nice to have: experience in ML/AI development.

Conditions

Onsite Monday through Thursday, with Fridays remote.

The company does not provide immigration support.

Benefits

• Weekly lunches on Monday, Tuesday and Thursday, plus a stocked kitchen with healthy snacks and drinks.
• Monthly social committee events.
• 18 vacation days, 9 company holidays, 5 sick days and 2 personal days.
• Stock options for every full-time employee.
• Paid parental leave.
• 401k plan.
• Commuter benefits.
• Competitive health, dental and vision insurance options.