At Shutterfly, we’re all about people — bringing them together, making them feel welcome, and connecting them to experiences. We make our customers’ memories last a lifetime by capturing, preserving, and sharing them through photography and personalized products. Through our family of brands, trend setting products, cutting edge technology, and best in class customer service, we help our customers, and each other, share life’s joy.

As part of the platform team, you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for Shutterfly. You will enhance the Data Warehouse at Shutterfly on AWS, supporting the breadth and depth of the company’s analytic needs.


What You'll Do:


  • Build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions
  • With your technical expertise own and manage project priorities, deadlines and deliverables
  • Evangelize the benefits of existing solutions and new technologies to drive the use and push the technology of the Data Warehouse forward
  • Work closely with business partners to improve the operations and performance of the data platform

The Skills You'll Bring


  • Expert knowledge Python, Spark, SQL scripting
  • 7+ years of hands-on experience with building data ingress frameworks and experience with dealing with a wide variety of source data formats
  • Hands-on experience in building data applications, including design, implementation, debugging, and support
  • Deep understanding of data integration to support analytics
  • Strong at applying data structures, algorithms, and object-oriented design, to solve challenging data integration problems
  • Experience working in the AWS Services Ecosystem or relevant Cloud Infrastructures such as Google Cloud or Azure
  • Bachelor’s degree in Computer Science or equivalent
  • Strong at applying data structures, algorithms, and object oriented design, to solve challenging data integration problems
  • Expertise with the AWS platform & airflow preferred