Staff Data Engineer (Python/Snowflake)

Location: New York, NY; must live within a 75-minute commute of the NYC office near Union Square and work in-office 4 days per week.

Salary: $175,000–$255,000 per year in target base compensation, with individualized pay based on location, experience, expertise, internal equity, and other business considerations. Additional compensation may include stock options and company-sponsored benefits.

Company

hirify.global provides personalized virtual behavioral healthcare for people navigating mental health conditions, substance use disorders, and eating disorders.

What you will do

• Build, release, and maintain high-quality ELT and streaming pipelines focused on correctness, observability, and performance.
• Orchestrate complex workflows with Dagster, Airflow, and dbt, including monitoring and data quality assessments.
• Own areas of the Snowflake data warehouse by designing performant schemas and documenting data definitions and lineage.
• Resolve critical data issues, identify bottlenecks, and improve pipeline reliability and data availability.
• Contribute to architecture and technical design decisions, supporting analytics delivery through Hex and AI Agents.
• Mentor teammates, share technical knowledge, document systems, and participate in the on-call rotation.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience.
• 7+ years of experience in data, including at least 4 years in data engineering.
• Advanced SQL skills, including CTEs, window functions, aggregation patterns, partitioning, clustering, and performance tuning.
• Strong Python proficiency and experience with common data engineering libraries.
• Hands-on experience with a modern data stack and the ability to own loosely defined problems through completion.
• Experience handling sensitive data in a regulated environment and availability for the required NYC office schedule.

Nice to have

• Healthcare experience.
• Airflow experience, including migrations.
• Kafka Streams experience.
• Experience using AI tools for development.

Culture & Benefits

• Comprehensive benefits for full-time, exempt employees.
• Potential stock options and other company-sponsored benefits.
• Values centered on connection, curiosity, evidence-based decisions, urgency, and perseverance.
• Opportunities to contribute to continuous improvement and technical craft.