Staff Data Engineer: Lead Data Platform Architect & Mentor

Headway; New York (NY); On-site; USD 212,000 - 265,000; Full time

Benefits offered by this job

Equity compensation

Medical coverage

Dental coverage

Vision coverage

HSA / FSA

401K

Work-from-Home Stipend

Therapy Reimbursement

16-week parental leave

Carrot Fertility annual reimbursement

13 paid holidays

Holiday Break

Flexible PTO

Employee Assistance Program (EAP)

Training and professional development

Job summary

Headway is seeking a Staff Data Engineer to architect and mentor as we scale data infrastructure to power affordable mental healthcare nationwide. You will define architectural standards, drive scalable data models, and partner with data scientists, analysts, and core software teams to ensure trustworthy data for critical decisions.

This hands-on leadership role requires 9+ years in data engineering, expertise with Snowflake, dbt, Airflow and Python, and a track record of delivering large-scale

Qualifications

• 9+ years of experience in data engineering.
• Expert-level proficiency with Snowflake, dbt, Airflow and Python.
• Strong data modeling techniques for production systems.

Responsibilities

• Define architectural direction and data standards across teams.
• Lead the design of scalable, high-quality data models and pipelines.
• Mentor engineers and raise the data maturity of the organization.

Skills

Data engineering

Data architecture

Snowflake

dbt

Apache Airflow

Python

Data modeling

Mentoring

Stakeholder collaboration

Tools

Snowflake

dbt

Apache Airflow

Python

Job description

Headway is seeking a Staff Data Engineer to architect and mentor as we scale data infrastructure to power affordable mental healthcare nationwide. You will define architectural standards, drive scalable data models, and partner with data scientists, analysts, and core software teams to ensure trustworthy data for critical decisions.

This hands-on leadership role requires 9+ years in data engineering, expertise with Snowflake, dbt, Airflow and Python, and a track record of delivering large-scale