Senior Data Engineer

About the role

The Data Engineering Team at Headway is seeking a Senior Data Engineer to contribute to our mission of creating access to affordable, quality mental healthcare across the United States. Data is central to our operations, supporting critical business decisions and patient care. Our team works closely with various departments to ensure our data platform is scalable, reliable, and secure.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure to support internal stakeholders and core business functions.
• Define, develop, and refine data governance, monitoring, and quality standards across the company.
• Partner with Product and Engineering to advocate for best practices in data engineering and ensure data needs are addressed early in the product lifecycle.
• Work cross-functionally with Analytics, Data Science, and Infrastructure to continuously evolve Headway’s data architecture.
• Own and drive technical decisions across the data platform, contributing to everything from performance optimization to infrastructure-as-code.

Requirements

• 6+ years of experience as a data engineer, with a track record of building scalable systems and solving complex data problems in a fast-paced tech environment.
• Proficiency in Python and SQL.
• Experience with tools and services that encompass a modern data platform stack, such as Snowflake, dbt, Airflow, Fivetran, and Terraform.
• Familiarity with visualization tools like Metabase or Jupyter Notebooks is a plus!
• A pragmatic approach to building for both today’s needs and tomorrow’s scale.
• A strong sense of ownership and a bias toward action, especially in the face of ambiguity.
• An empathetic approach to working with teammates and stakeholders, valuing collaboration across disciplines.
• A passion for Headway’s mission to make mental healthcare more accessible and affordable.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with distributed systems and microservices architecture.
• Experience with data warehousing and ETL processes.
• Experience with data modeling and database design.
• Experience with data security and compliance.

Skills

• Strong understanding of data engineering principles and best practices.
• Experience with data integration and data migration.
• Experience with data analytics and data visualization.
• Experience with data governance and data quality management.
• Experience with data security and compliance.

Benefits

• Compensation range: $180,000 - $225,000 based on qualifications, experience, and location.
• Equity compensation.
• Health and wellness benefits, including medical, dental, vision, HSA/FSA, 401K, and work-from-home stipend.
• Additional benefits include therapy reimbursement, parental leave, fertility reimbursement, holiday breaks, and employee assistance program (EAP).
• Comprehensive training and professional development opportunities.

Pay

The expected base pay range for this position is $180,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location.

Schedule

Headway offers a flexible schedule to accommodate the diverse needs of our team members.