About Us

Wonder is a fast-growing food-tech startup that’s raising the bar on the role food plays in peoples’ lives. We’re creating an on-demand dining experience where customers can receive high-quality meals perfectly prepared and served to their doorsteps within minutes. We partner with the best restaurants and chefs across a diverse range of cuisines to offer access to the world’s most delicious food—anytime, anywhere. Meals are prepared in Wonder kitchens and finished by onboard chefs deployed in our customized mobile kitchens.   

Wonder is led by a team of experienced entrepreneurs including some of the most accomplished leaders and operators in the technology, culinary, and logistics industries. Backed by top-tier venture capitalists, we’re moving quickly to pioneer the future of food.  

If you join our team, you’ll work in a supportive and collaborative environment where our culture and our values—Mastery, Compassion, and Courage—are taken as seriously as delivering an incredible experience for our customers. 

About the role

As a Sr. Data Engineer, you will be responsible for leading the development and support for a high throughput data architecture. We are looking for engineers that have a passion for data driven decision making and software technologies.

• Create and execute on a vision for Data and Data Streaming applications.
• Partner with cross functional teams including product management/data infra/customer teams to build shared goals
• Build a high-quality BI and data-streaming platform
• Build relationships with Data Analysts, Product Managers and Software Engineers to understand data needs
• Ensure high levels of data quality across the product vertical and related business areas
• Manage the delivery of insightful dashboards and data visualizations
• Establish SLA’s for all data sets and processes running in production
• Develop and maintain ETL routines using ETL and orchestration tools such as Airflow, Luigi and Jenkins.

The experience you have

Must-have:

• 2+ years work experience in building data warehousing environments. Strong background of data modeling principles including Dimensional modeling, data normalization principles etc.
• 2+ years experience using analytic SQL, working with traditional relational databases and/or distributed systems such as Hadoop / Hive, BigQuery, Redshift.
• 2+ Years of experience programming languages (e.g. Python, R, Java, bash).
• 2+ years of experience with streaming technologies (i.e. Spark Streaming, Stream Analytics, etc.)
• Bachelor’s degree in quantitative or analytical field e.g. economics, mathematics, or computer science
• Strong communication skills – written and verbal presentations

Nice-to-have:

• Experience with Snowflake cloud data platform (or similar ecosystem)
• Familiarity with data exploration / data visualization tools like Tableau, Looker, etc.
• Familiarity with Azure Data Storage (CosmosDB, Blob Storage, etc.)
• Familiarity with stream and message queue technologies (Kafka, RabbitMQ, EventHubs, etc.)
• Comfortable working in a fast-paced and highly collaborative environment
• SnowPro certification.

Bonus:

• Experience with Time Series and/or GeoSpatial IoT Data
• Experience with Kubernetes

Benefits

We offer a competitive salary package including equity and 401K with matching. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.

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