Data Engineer

Job Description

Toast Overview:

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 in our mission to empower the restaurant community to delight guests, do what they love, and thrive.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.

Bready* for a change?

The [starter] Data Engineer will play an important role in our growing Business Intelligence team. The person in this role will enthusiastically dive into our data and help build out our centralized Data Warehouse and the infrastructure that underlies it. We are looking for a motivated, energetic candidate with experience creatively solving data complexities of various sizes and levels of cleanliness - with the ultimate goal of enabling analysts, product managers, and peers throughout Toast to make decisions backed by data.

About the roll* :

• Extract data from various sources (Salesforce, NetSuite, Workday, Toast backend, etc.) and load into our data lake (Amazon s3) and ultimately our data warehouse (Snowflake)
• Synthesize business requests from stakeholders and translate key points into a workable technical solution
• Enable data self-service across the organization, for which we currently use Looker (you’ll be writing LookML) and a Snowflake data warehouse (you’ll be writing SQL and Python, and using Apache Airflow for orchestration)
• Partner with stakeholders and business leaders to provide strategic support and recommendations for how data can best serve various Toast departments, including Sales, Marketing, Support, Finance, Product, Services, and Executives

Do you have the right ingredients* ?

• Bachelor's degree in Computer Science, Information Systems, or a related field (or proven experience in these areas)
• 2+ years professional experience in BI, Data Analytics, and/or similar role
• Proficient SQL skills
• Familiarity with orchestration tools and version control tools
• Ability to disambiguate stakeholder needs in order to provide data necessary to hit business goals
• Communication skills that enable relating complex technical problems or solutions to non-technical folks and vice versa

Bonus Ingredients* :

• Relevant work experience in a high-growth tech or SaaS company
• Experience using Snowflake, Airflow, Agile, EC2, and Docker
• Familiarity with backend data from common cloud vendors such as Salesforce, NetSuite, Workday, Greenhouse, etc.

*Bread puns encouraged but not required