As a Data Engineer, you will:
- Collaborate on the design and improvements of the data infrastructure
- Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
- Create data pipelines that stitch together various data sources in order to produce valuable business insights
- Create real-time data pipelines in collaboration with the Data Science team
You will love this role if you have:
- 3+ years of experience in a data engineering role building products, ideally in a fast-paced environment
- Good foundations in Python and SQL.
- Experience with Spark, PySpark, DBT, Snowflake and Airflow
- Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)
- A knack for simplifying data, expressing information in charts and tables
- Empathy: you are eager to see the world from your users’ perspectives
- Energy: you're attracted to ambiguity & are a self-starter. You love to drive the direction of ambiguous projects
- Motivation: our mission excites you. We are working to solve the biggest problems in mental health today (access and affordability)
- Experience with Looker and build Looker ML models is a plus
Our Interview Process
After you apply to Headway, here are some details of what to expect during the interview process.
- Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background.
- First round: You'll meet with a member of our data engineering team for a data systems interview.
- Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
- Reference Calls
- Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!
Learn more or apply here