Staff Data Engineer: Lead Data Platform Architect & Mentor

Headway

New York (NY)

Sur place

USD 212 000 - 265 000

Plein temps

14 jours+

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Avantages offerts par ce poste

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

Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Data engineering
Data architecture
Snowflake
dbt
Apache Airflow
Python
Data modeling
Mentoring
Stakeholder collaboration

Outils

Snowflake
dbt
Apache Airflow
Python

Description du poste

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

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