Job Description

Description

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 development, forecasting, allocation, and insights into the products we sell. In this role, you will work with the core of how we use inventory, transaction, and historical forecast data working with modern cloud and open source technology to transform the future of sport.

You would partner with merchandising, supply-chain, pricing, and product development business teams to build the next-generation of data insights. 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 data products driving merchandising, supply-chain, pricing, and product development 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.

We are open to this role being remote.

Qualifications

* 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..
* Experience with continuous integration/continuous delivery (CI/CD pipelines (Jenkins, Concourse, Azure DevOps
* Experience with relational databases (Oracle, SQL Server, etc.. as well as NoSQL database technologies (MongoDB, BigTable, Cassandra, etc..
* Experience with AI/ML workflow frameworks like Kubeflow, Azure AI/ML, AWS Sagemaker, etc.
* Proficient in developing, maintaining and interacting with APIs
* Experience with Agile Development and Agile Deployment tools and versioning using Git or similar tools
* Proficient in Linux/Unix environments