(USA) Senior, Data Engineer

$117,000 - $234,000/Yr

Sam's Club - Bentonville, AR

Full-time - Mid Level

Onsite - Bentonville, AR

10,001+ employees

Merchant Wholesalers, Durable Goods

About the position

The position involves designing, building, testing, and deploying innovative data solutions that impact millions of customers globally. The role requires collaboration with engineering teams and product management to drive business initiatives and enhance product features. The ideal candidate will have a strong background in data engineering and cloud platforms, with a focus on developing scalable and efficient data processing pipelines.

Responsibilities

• Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide.
• Drive value from data by interacting with Sam's Club engineering teams across geographies.
• Engage with Product Management and Business to drive the agenda, set priorities, and deliver product features.
• Identify and utilize the right open source tools to deliver product features through research and interaction with open source forums.
• Develop and contribute to features that enable data adoption across Sam's Club.
• Deploy and monitor products on Cloud platforms.
• Develop and implement best-in-class monitoring processes to ensure data applications meet SLAs.
• Guide the team technically for end-to-end solution lifecycle.

Requirements

• 4 - 6 years of Big data development experience.
• 2 - 3 years of experience in GCP/Azure cloud platforms.
• Demonstrates up-to-date expertise in Data Engineering and complex data pipeline development.
• Architect, design, develop, implement, and tune distributed data processing pipelines focusing on scalability, low-latency, and fault-tolerance.
• Proven experience in data modeling and design with a strong understanding of data architecture principles.
• Exposure to Data Governance including Data Quality, Metadata Management, and Security.
• Expertise in using tools such as JUnit, TestNG, or PyUnit for unit testing and experience with CI/CD pipelines.
• Experience with Java, Scala, and/or Python for writing data pipelines and processing layers.
• Demonstrates expertise in writing complex, highly-optimized queries across large data sets.
• Proven working expertise with Big Data Technologies such as Spark, Scala/PySpark, and SQL.
• Knowledge and experience in Kafka, Spark Streaming, Druid, and Presto.

Nice-to-haves

• Data engineering, database engineering, business intelligence, or business analytics experience.
• ETL tools and working with large data sets in the cloud.
• Master's degree in Computer Science or related field with 3 years' experience in software engineering.
• Background in creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards.

Benefits

• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• PTO
• Multiple health plans
• Short-term and long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Live Better U education benefit program covering tuition, books, and fees.