Data Engineer

New York City Officefull timeOn Site

Apply on Employer Site

mid

$160k–$190k

H1B: yes

Tennr The Data Engineer owns end-to-end data engineering functions at Tennr, building and maintaining production pipelines into Snowflake and leading EHR discovery and integration initiatives. This role also manages Snowflake as the strategic data platform and designs data models for internal analytics.

Responsibilities

Build and maintain production pipelines from Tennr's application into Snowflake ensuring reliability and performance at scale
Lead EHR discovery and integration initiatives across healthcare systems
Architect Snowflake instance setup, implement security best practices and governance, manage vendor relationships
Design and implement data models transforming raw data into usable assets
Surface and safely share data across Tennr for internal analytics and tooling
Implement monitoring and alerting to detect and resolve pipeline issues quickly
Explore innovative approaches to extract insights from unstructured referral documentation including AI-enabled models

Qualification

Excellent problem-solving skillsOutstanding communication skillsTeam player with collaborative mindset

Required

3–5 years of experience in data engineering with scalable data pipelines and infrastructure
Proven expertise with Snowflake and modern cloud data platforms (AWS, GCP)
Hands-on experience with data pipeline tools and orchestration frameworks
Strong understanding of healthcare data or ability to quickly learn domain-specific systems
Healthcare-data security awareness and familiarity with HIPAA and data governance
Excellent problem-solving skills
Outstanding communication skills
Team player with collaborative mindset