We’re a community of healthcare providers, fertility specialists, and women who get it. We are on a mission to reinvent women’s healthcare services. We believe it’s time for women to learn the facts about their fertility and make their own plan through best-in-class technology, operations, clinical service, and a modern branded experience. We are NYC-based and rapidly expanding nationally.

We are hiring experienced software engineers to help infuse data and best practices into clinician decision making via our own acquired EMR, and we'll also be creating a patient experience to help patients understand their fertility in a non-intimidating, intuitive way.

Our engineers are curious, empathetic co-workers! Our primary technical concerns are security, ensuring data integrity, EMR speed and usability, and building integration-first APIs.  We eat, breathe, and live efficiency, from our Agile-Kanban hybrid development procedures, our architecture decisions, and our product priorities. As the first dedicated data engineer, you will be part engineer, part data scientist, and part product manager.

Your focus will be on improving and maintaining our ETLs, data warehouse, and analytics platform. You will be responsible for (re)architecting our data warehouse schema and design, and you will own our business intelligence and analytics platform tools to deliver near real-time data insights to the business.  You will work cross functionally with backend and frontend engineers to ensure data is properly tracked as well as with finance, marketing, clinical, and business functions to drive the data and reporting needed to grow the business and deliver excellent care to our patients. 

Our Tech Stack

• Docker: everything, everywhere
• Rails apps unified in a monorepo: not the sexiest language, but battle tested for our EMR. Read about our decision to monorepo here!
• Kubernetes in AWS (EKS): ensures stability, uptime, speed, scalability of our EMR
• Node, React, Amplify: modern, usable Patient Portal. Read more here!
• Python, Serverless Architecture
• AWS, GCP, Segment, Metabase, Bash, Python: our data engineering stack.  Read more here!
• Vue.js

Responsibilities

• Take our scrappy data system to the next level by building for scale
• Communicate across key business stakeholders to prioritize data requests
• Anticipate important metrics and analysis to drive the business
• Own it. Take technical responsibility for all data, analytics, and reporting tools used across the company - be on the lookout for opportunities for improvement to keep our production systems scaling and performing fast
• Speak up!  Contribute to conversation concerning sprints and deliverables
• Get involved. Design and architect systems that can span multiple teams and/or products
• Be thoughtful. Communicate with leadership, product owners, other technologists and users to build useful, relevant, dependable solutions
• Think critically. Break down complex problems into elegant technical solutions to intelligently solve problems for our patients and internal stakeholders
• Be curious! Actively contribute to the adoption of strong architecture, best practices and new technologies

Desired Skills and Experience

• 3+ years work experience as a data engineer owning and contributing to ETLs
• Deep understanding of data warehouse design and management with views, materialized views, schema definition
• Familiarity with Luigi, Airflow, and rolling your own ETL solutions
• Experience working with non-technical stakeholders to identify and solve their data needs.
• Strong communication skills to message releases and updates to stakeholders.
• Scripting wiz. You can work with Bash and/or Python enabling data engineering independence on the team!
• Familiarity with Metabase, Domo, Looker, etc.
• SQL master.  You’ll be responsible for maintaining all of our business analytics queries.
• Collaborative working style, detail- and goal- oriented, self-starter with excellent project management skills and ability to manage tight deadlines
• Desire to learn outside of current skill set
• Experience building HIPAA-compliant software preferred