About Data Platform at Headway

Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide. The Data Platform team at Headway is a small but mighty team building our Snowflake data platform, data ingestion tooling, AWS infrastructure, CI/CD, and data developer experience to help Headway deliver best-in-class experience for our patients and therapists. As we scale, we're looking for an experienced Data Platform Engineer to help us design and build infrastructure to support the growth of our data engineering, data analyst and machine learning teams. You’ll work closely with our Data Analytics & Engineering teams, Product Engineering, and Machine Learning teams to support analytics needs as we grow in traffic, data, and scale.

Principles that guide us:

Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing.

Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration.

Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.

Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.

Who you are

We’re looking for data-focused software engineers who have the ability to create clarity from ambiguity and build quickly and strategically in a fast-paced, high-growth environment. Below are some additional experiences we think help engineers succeed at Headway.

Experience we’re seeking:

6+ years of experience as a Data Platform Engineer, Software / Infrastructure Engineer specializing in Data, or Data Engineer in a high-code environment. Building & maintaining a full-stack data platform including data warehousing, data ingestion & other data pipelines, orchestration, monitoring & alerting, CI/CD, developer tooling, cloud infrastructure, and third party integrations. Understanding of data warehouse architecture patterns, performance tuning, and permissions management strategies across a variety of use cases on a MPP analytics database (Snowflake, Databricks, BigQuery, AWS RDS) Service mindset - able to collaborate & communicate actively with stakeholders with varying levels of technical expertise to design best practice, easy-to-use solutions and build strong cross-functional relationships. Designing & maintaining cloud infrastructure resources (AWS, GCP, Azure) with infrastructure-as-code frameworks (Terraform, Pulumi, AWS CDK, etc.) Strong Python skills, good foundational knowledge of SQL Working with and maintaining data pipeline orchestration infrastructure (preferably Airflow/Astronomer) Bonus points if you have experience with: APM tools like DataDog, New Relic, custom alerting/monitoring, data quality & observability tooling ETL/ELT best practices Data security & compliance practices especially with PHI (we are a healthcare company!) or in other regulated environments Greenfield development in a startup or other high-growth environment Docker, Github Actions, DBT, Spark You'll love this role if you want to:  Change the trajectory of a startup striving to redefine access to mental health in America Work on a highly collaborative, cross-functional engineering team in order to build the best products for therapists, patients, physician and payer partners, and/or your teammates at Headway Build and improve tooling to make engineering more streamlined and efficient Help establish and engrain best practices throughout our codebases Work in a fast-paced, iterative development process -- we release changes to our products multiple times per day! Contribute to our engineering culture, processes, and documentation with the same thought and care that we do our software (one of our engineering cultural principles is “Everything is a Product”) Compensation & Benefits:

The expected base pay range for this position is $198,050 - $233,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

Benefits offered include: Equity compensation Medical, Dental, and Vision coverage HSA / FSA 401K Work-from-Home Stipend Therapy Reimbursement 16-week parental leave for eligible employees Carrot Fertility annual reimbursement and membership 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st Flexible PTO Employee Assistance Program (EAP) Training and professional development