Software Engineer, Data Engineer
Listed on 2026-01-02
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Software Development
Software Engineer, Data Engineer
Position Summary...What you'll do...
Come join our People Data Platform Team @Walmart where you'll have the opportunity to manage people data at Walmart scale and make sure the consistent data is being utilized across transactional and analytical systems.
About Team:
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.
What you'll do:
Contribute to the design and development of platform features with microservices and event-driven (Kafka, SSE, Web Socket) architecture
Uphold the engineering and operational excellence standards and embrace automation following DRY (Don’t Repeat Yourself) principle
Design, build and enhance high performance reusable framework for data pipeline
Develop and deploy cutting edge solutions at scale, impacting millions of customers worldwide to drive value from data at Walmart Scale
Support People Data applications ensuring data quality and governance standards.
Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the technical community.
Be an active member of a dynamic team.
Support production operations by participating in on-call rotation
Provide guidance and mentorship to junior data engineers.
What you'll bring:
Bachelors/masters degree in computer science or a related field
10+years of experience in designing and developing highly scalable applications
Strong understanding of computer science fundamentals (data structures, algorithms, design patterns, distributed computing)
Object-oriented programming experience in Java, Spring boot, Microservices, React.
Have designed, built, and maintained APIs, services, and systems on cloud at large scale.
Strong understanding of distributed systems concepts, microservices architecture, and container technologies (Docker, Kubernetes)
Experience using CI/CD, tools for logging and metric
Experience building and deploying cloud-native applications on major cloud platforms (GCP, Azure)
Strong computer science fundamentals in data structures and algorithms.
Familiarity with testing frameworks (JUnit, Mocha, TestNG, Selenium)
Experience working in Azure SQL, Cosmos DB, Blob Storage, GCS, Hive, Apache Spark and Airflow.
Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets.
Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work.
Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process.
Ability to move at a rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or…
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