Data Engineer

Casper is a global sleep company that launched in 2014 with an obsessively engineered, outrageously comfortable mattress sold directly to consumers. Its critically acclaimed sleep surface was developed in-house, has a sleek design, and is delivered in a small, "how did they do that?"-sized box.

Data Engineering at Casper is a small, but growing team that supports the organization's desire improve how it uses data.We are looking for an engineer to help us build and iterate on our data pipeline to improve the quality and delivery speed of the many data sources that feed into our data warehouse. This work serves as the foundation for our future efforts such as optimizing ad spend, streamlining business operations, and improving our customer’s experience. As one of the first members of this team, you will play a crucial role in the delivery of features and direction of the Data Engineering team at Casper.

• Be instrumental in the design and build out of our big data strategy as the volume of our data increases
• Build tools to monitor the flow and quality of data moving through our data pipeline
• Contribute to our ETL system to move data from a variety of data sources into our data warehouse
• Adjust our data model as needed to improve the performance of reports and common queries
• Guide data analysts in adopting best practices with their SQL and Python code

• Experienced in building systems that must deal with the complexities of integrating with third parties
• Proficient in Python and is ready to pick up other languages as the situation requires
• Understands how to model a database optimized for both OLTP and OLAP operations
• Comfortable with AWS’s data and analytics products
• Well-informed about big data processing tools and when to use them
• Curious. You are driven to understand how and why things work the way they do