Senior Data Engineer, Business Intelligence
Senior Data Engineer, Business Intelligence
We’re not your traditional tech company. We recognize that talented people often come from outside the tech space. No matter what your background is, there’s a place for you at Toast. We’ve 86’d the conventional workplace for one where people can truly bring their full selves to work. Together, we empower restaurants of all sizes to build great teams, increase revenue, improve operations, and delight their guests. We pair our deep understanding of the restaurant industry with powerful cloud based software and restaurant-grade hardware to deliver an intuitive all-in-one platform. Join us on our mission to empower the restaurant community to delight guests, do what they love, and thrive.
Bready* to make a change?
The Sr Data Engineer will play an integral role in our Business Intelligence team. This person will help build the platform that fosters thousands of data-informed decisions at Toast every day. We are looking for an experienced, highly motivated, energetic candidate who has worked with large and complex datasets and formats. As a senior member of the team, mentorship of more junior teammates is not just encouraged, but expected. This is not just a “keep the lights on” data engineering role - this person will play an integral part in helping build a best in class BI function and platform to support our best in class restaurant technology platform.
About this Roll*:
- Develop efficient, scalable and performant ETL tooling and infrastructure using SQL, Python and Airflow
- Advocate for and drive decisions that incorporate data modelling and data architecture best practices
- Work with key stakeholders to make sure we are not just solving the data need, but also the business need
- Serve as a technical mentor to more junior team members
- Contribute to our backlog and roadmap when you see opportunities to add business value, efficiencies or scalability
Do you have the right ingredients?
- Bachelor's degree in an advanced quantitative field; 5+ years experience in data engineering
- SQL and Python superstar who has put those skills to work in data warehouse environments
- Experience working with large datasets (billions of rows)
- A highly quantitative problem solver who loves to dig into different kinds of data and determine how they can be pieced together to reach positive business outcomes
- Ability to work effectively in a dynamic, changing environment while focusing on key goals and objectives
Bonus Ingredients:
- Work experience in a high growth tech or SaaS company
- Experience with orchestration tools like Airflow or Luigi
- Experience with cloud data warehouses like Snowflake, Azure, BigQuery or RedShift
- Experience with data visualization tools like Looker, Periscope, Mode, SiSense, etc
- Experience with NetSuite, Salesforce
- Experience working in an Agile environment