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 helping us understand everything we can about our inventory, in real-time – both what it is and where it is so we are always in-stock and able to deliver on customer needs.
About the Role
As a Data Engineer III 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. You will partner with data science, product, engineering, store operations, and legal teams. You will need to be a self-starter with bias for action and excellent communication skills. Together, we will pioneer technologies that reinvent the customer and associate experience, new ways of working, and new ways of shopping.
If you are motivated by complex, purposeful challenges, a Data Engineer III role within the Store Nº8 portfolio could be the fit you’ve been looking for.
This position features flexibility for remote work with occasional in-office collaboration. In office locations include: New York-Hoboken NJ, Bentonville AR, Dallas TX, San Francisco Bay Area, Seattle-Redmond WA.
What You’ll Do
Join a newly created team as one of the early engineers and have significant opportunity to make an impact by prototyping next generation online and in-store inventory experiences.
Apply business acumen to successfully understand and apply a data strategy roadmap and articulate the vision.
Lead discovery phases integrating with multiple internal systems and teams to ingest data and identify new ideas to forecast business and operational issues.
Analyze complex data elements and develop data models that are easily digestible to help the team make best decisions based off the data.
Write code, create test cases and proof of concepts. Translate business problems to data related mathematical solutions.
What You’ll Need
2+ years relevant experience in the following
Python, JS, Java
SQL, Oracle, API Integrations
Practical experience with Google Cloud Platform, Microsoft Azure
2+ years’ experience in data engineering, database engineering, business intelligence, or business analytics.
Success delivering impactful results
Boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail.
What Wows Us
Experience in HDFS, Hive UDF’s, MapReduce, Druid, Hue, PySpark, Scala, Kafka
Knowledge of Tableau and other analytic tools
Non-Structured Data Management & Catalog
Data Annotation Pipelines
Perks and Benefits
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
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 2 years' experience in software engineering or related field. Option 2: 4 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, Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field