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ShopRunner // network of retailers
Engineering, Full Time    Conshohocken, Chicago    Posted: Friday, March 26, 2021
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At ShopRunner, we connect consumers to the brands they love by way of a thriving marketplace & a members-only service that provides benefits across 100+ of the top brands & retailers in the ecommerce space. We build products that provide a premier ecommerce experience by delivering elevated, data-driven content. The landscape of retail is changing & we're here to empower retailers to take their place in that exciting evolution. 

We have people in offices around the world: Headquartered in Chicago, with offices in New York, Conshohocken, PA (Philly area), & Krakow, Poland.


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


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


  • Experience writing production code in Python & JVM-based systems, but you know a few other languages & like the right tool for the job.
  • Experience with a variety of data stores & technologies such as Spark, Airflow, ElasticSearch, Kinesis, Kafka, Postgres, MySQL, & Snowflake.
  • Knowledge of data modelling & data warehousing techniques.
  • Experience with deploying & managing data infrastructure using tools like Terraform
  • Knowledge of machine-learning tools & techniques.
  • Plenty of experience using data in support of larger efforts, from reusing other services & APIs, to writing jobs in map-reduce or Spark, to leveraging streaming data for smarter online systems.
  • Experience with best practices for CI/CD & deploying code using tools like Jenkins, Spinnaker, Docker & Kubernetes.
  • Experience with data transformation tools & techniques & workflow management
  • Experience optimizing larger applications to increase speed, scalability, & 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 & 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. 

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