At Dicks Sporting Goods, we are creating the future of sport driven by powerful data products and platforms that serve our Athletes and Teammates.
We are looking for a Data Engineer who wants to be a part of a team solving the ingestion, enrichment, and activation of data to drive better products, services, and experiences for our Athletes. In this role, you will work with the core of how we use Athlete data working with modern cloud and open source technology to transform the future of sport.
You would partner with marketing, retail, and e-commerce business teams to build the next-generation of Athlete data. Work alongside data science teams building AI/ML models, platform engineers creating services that support you, and software developers creating unique experiences.
This role builds new data products, pipelines, APIs, materialized views, services, and tools. They are fascinated with data and the modern ways of creating rich, scalable data products driving how we work.
What you will bring:
Experience and love for Python, Spark, SQL, or other standard data scripting languages
Hands-on experience building, managing, and automating data pipelines
Familiarity and appreciation for modern public cloud data services from AWS, GCP, or Azure
3+ years of experience being close to the business and delivering value through it as part of a team.
Some knowledge or exposure to supporting AI/ML engineering and integrating data to model development, management and serving.
A good grip of data structures, relationships, integration patterns, and algorithms.
You understand the importance of Kafka, Snowpipe, or Kinesis for real-time needs
Some experience applying security and privacy to how you manage data.
A grasp of the importance of common data platform patterns and how they relate like Data Lake, Data Mesh, Data Catalog, Tagging, Stream Processing, etc.
Job Duties & Responsibilities
Work as part of a team building the data ingestion, products, pipelines, and tooling supporting our Athlete Hub data product driving Marketing, Retail, E-commerce and Enterprise initiaves.
Work with stakeholders including the product, data and architecture teams to assist with data-related technical issues and support their data infrastructure needs.
Provide proactive design, operational support, and governance for privacy and security policy for data.
Our teammates know that there is an athlete behind every in-store and eCommerce transaction. We go beyond the expected to build technology that makes the DICK’S Sporting Goods’ experience innovative and hassle-free.
COMMITTED TO INCLUSION & DIVERSITY.
We actively seek to create an inclusive and diverse workforce, reflecting the communities we serve. Doing so strengthens our ability to serve all our athletes and drive innovation and growth.
HAVE A PASSION FOR SPORTS.
We believe that sports make people better and we’re determined to be the best sports company in the world. Whether you’re an athlete or sports enthusiast, we bring our passion for the game into everything we do.
GET BETTER EVERY DAY.
The journey is never over. We know that to be the best, we must get a little better each day. We focus on delivering 1% more in everything we do.
What we’re looking for
Bachelor's Degree in Computer Science, Software Engineering, Information Systems or Information Technology or related field required, or equivalent experience
Three to five years of experience in Data Engineering, AI/ML Engineer Integration, Data Modeling
Any Public Cloud certification focused on Data Engineering or Data Science
Any Public Cloud certification focused on Cloud Engineering
Experience building data pipelines on modern public cloud services like Snowflake, AWS, GCP, or Azure.
Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores (Kafka, Pub/Sub)
Proficient with SQL, Spark, and other common Query languages
Experience with Cloud Identity and Access Management for data on public cloud.
Proficient with object-oriented programming and scripting languages (Python, Java, etc..)