About Store No8
We are the incubation arm of Walmart. Store No8 was formed in 2017 as part of Walmart's larger innovation mission to shape the future of commerce. We pursue big ideas and take risks by stepping outside of Walmart's core business to focus on leapfrog capabilities across conversational commerce, mixed reality, in-store digitization, and more. Our ultimate goal: fuel Walmart's core business, create new operational efficiencies, and unlock amazing experiences for our customers in the long-term.
This team within Store Nº8 is working on healthcare innovations because Walmart's promise is to help its customers save money and live better. This includes building products that enhance both their physical and emotional wellbeing.
About the Role
As a Senior Data Engineer for one of our Store Nº8's portfolio companies, your focus will be finding trends in data sets and developing next-generation algorithms to make the data useful for projects within our incubator. Reporting directly to the Head of Engineering, you will partner with data science, product, Health & Wellness, store operations, and legal teams. You will need to be a self-starter with a bias for action and excellent communication skills.
This is a rare opportunity, moving at the speed of a startup, with the backing and in-house data (lots of data) of the Fortune 1 company. You will bridge the art of what is possible across today's rapidly evolving healthcare data and informatics landscape.
What You'll Do
Join a newly created team as one of the early engineers and have a significant opportunity to make an impact by prototyping next-generation data products in the health and wellness space.
Collect and combine data from multiple data sources.
Lead discovery phases integrating with multiple internal systems and teams to ingest data and identify innovative ideas in the space.
Contribute to the deployment of data infrastructure and products.
Write code, create test cases, and proof of concepts.
Translate business problems to data related mathematical solutions.
What You'll Need
3+ years of industry experience in data engineering, database engineering, or similar.
3+ years of hands-on programming/development/testing experience (Python, Scala, JS, Java).
Experience leading agile software development projects.
Extensive experience with scalable distributed systems and API (Application Program Interface) integrations.
Experience with SQL and NoSQL databases and language constructs (MySQL, Hive).
Experience with data streaming/workflow technologies, like Spark, Kafka, Airflow.
Practical experience with cloud services (Google Cloud Platform, Microsoft Azure).
Experience designing data warehouses and other infrastructures like Google Big Query.
Deep understanding of container technologies like Kubernetes and Docker.
Thrives in a fast-paced start-up environment, including balancing multiple projects and dealing with ambiguity.
A plus if you also have
Experience with retail and health care data (claims, EMR) and its regulations.
Contribution to external open-source projects.
Agile experience with emphasis on rapid prototyping.
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics or related field.
tion 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics or related field.
Option 3: 5 years' experience in an analytics or related field.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering