ABOUT US

We build tools for 100+ brands and retailers in the ecommerce space that help them offer free two-day shipping, same-day delivery, and product expansion into new marketplaces -- keeping them several steps ahead of the curve in a rapidly changing industry.

We are a purpose and culture driven organization that prides ourselves on connectivity, equality, diversity and inclusion. We are committed to our people as a service-oriented company as our people are at the heart of everything we do.

We are Headquartered in Chicago, with offices in New York, Conshohocken, PA (Philly area), and Krakow, Poland and we operate as a subsidiary of FedEx Services.

ABOUT THE ROLE

As a Senior Data Engineer at Shoprunner, you’ll help power many of our data-backed solutions and manage the large scale data we ingest from our merchant partners.  Data Engineering will work in collaboration with our Enterprise, Consumer, and Data Science teams to bring data models to production, power solutions for our merchant partners, and create more personalized experiences for our customers in our never-ending quest to help our shoppers and retailers connect in new ways and new applications.. 

 ABOUT WHAT YOU’LL DO

• Own the key data pipelines which enable real-time event handling, smarter personalization, and more nimble applications.
• Develop frameworks to productize our machine-learning models that give our members more product choices. 
• Help us define and manage our big data infrastructure including Kinesis/Kafka streams, Apache Spark and Snowflake data warehouse.
• Help us evolve our service architecture, embracing architecture approaches such as 12 factor, microservices, and well-formed APIs to allow our architecture to scale both internally and externally.

 ABOUT WHAT WE’RE LOOKING FOR

• Experience writing production code in Python and JVM-based systems, but you know a few other languages and like the right tool for the job.
• Experience with a variety of data stores and technologies such as Spark, Airflow, ElasticSearch, Kinesis, Kafka, Postgres, MySQL, and Snowflake.
• Knowledge of data modelling and data warehousing techniques.
• Experience with deploying and managing data infrastructure using tools like Terraform
• Knowledge of machine-learning tools and techniques.
• Plenty of experience using data in support of larger efforts, from reusing other services and APIs, to writing jobs in map-reduce or Spark, to leveraging streaming data for smarter online systems.
• Experience with best practices for CI/CD and deploying code using tools like Jenkins, Spinnaker, Docker and Kubernetes.
• Experience with data transformation tools and techniques and workflow management
• Experience optimizing larger applications to increase speed, scalability, and extensibility.
• Proven self-starter who can move projects forward by filling in the gaps on Agile teams, from leading a design session to doing some test automation, to mentoring a teammate struggling with a new technology.

We want you to bring your whole human self to work every day. We accept you for who you are and consider everybody on an equal opportunity basis without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.