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Staff, Data Engineer

World's leading retailer focused on helping people save money so they can live better.
Bentonville, AR, USA
$110,000 - $220,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Enterprise SaaS · Retail

Description For Staff, Data Engineer

Join Walmart's International Data Lake organization as a Staff Data Engineer, where you'll manage International Supply Chain data enablement at Walmart scale. The role focuses on building and maintaining data lakes for international markets, enabling informed decision-making through accurate and accessible data. You'll work with cutting-edge big data technologies, develop scalable solutions, and ensure data quality while collaborating with global engineering teams. The position offers competitive compensation ($110,000-$220,000) plus benefits, and is based in Bentonville, AR. As part of Walmart Global Tech, you'll impact millions of customers worldwide while working with a team of software engineers and data scientists. The role requires expertise in big data technologies, strong programming skills in Python and Scala, and experience with cloud platforms. You'll be part of a culture that values innovation, collaboration, and making a positive impact on customers and communities worldwide.

Last updated 13 minutes ago

Responsibilities For Staff, Data Engineer

  • Design, Build and Enhance high performance reusable framework for data pipeline
  • Develop and deploy cutting edge solutions at scale
  • Support International Supply chain Data applications
  • Ensure data quality and implement data validation processes
  • Analyze and translate business requirements into strategies
  • Build infrastructure for data transformation and integration
  • Provide guidance on data governance practices
  • Collaborate with team members in solving business problems

Requirements For Staff, Data Engineer

Python
Kafka
  • Bachelor's/master's degree in computer science or related field
  • 8+ years experience in development of big data technologies/data pipelines
  • Proficiency in managing and manipulating huge datasets in terabytes (TB)
  • Expertise in big data technologies (Hadoop, Apache Spark, Apache Hive)
  • Experience with cloud platforms (GCP preferred, AWS, Azure)
  • Proficiency in Scala and Python
  • Expertise in Airflow
  • Strong SQL skills (Big Query or SPARK SQL)
  • Experience with Kafka preferred
  • Strong data modeling skills
  • Strong analytical and problem-solving skills

Benefits For Staff, Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Education Budget
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k
  • Stock Purchase Plan
  • Life Insurance
  • Parental Leave
  • Education Budget
  • Employee Discount
  • Short-term Disability
  • Long-term Disability

Interested in this job?

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