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Senior, Data Engineer

World's leading retailer focused on helping people save money so they can live better.
Bentonville, AR, USA
$90,000 - $180,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · Retail

Description For Senior, Data Engineer

Join Walmart's International Data Lake organization where you'll manage International Supply Chain data enablement at Walmart scale. As a Senior Data Engineer, you'll be part of a team 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 role offers competitive compensation ($90K-$180K), comprehensive benefits, and the opportunity to impact millions of customers worldwide. You'll be based in Bentonville, AR, a growing area with 200+ miles of trails, local food scene, and cultural attractions like Crystal Bridges Museum. The position requires expertise in big data technologies, strong programming skills, and the ability to translate business requirements into technical solutions. You'll be part of Walmart Global Tech, where innovation happens at scale and technology transforms retail for the future.

Last updated a day ago

Responsibilities For Senior, 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
  • Collaborate with team members in solving business problems
  • Interact with Walmart engineering teams across geographies

Requirements For Senior, Data Engineer

Python
Kafka
  • Bachelor's/master's degree in computer science or related field
  • 5+ years experience in development of big data technologies/data pipelines
  • Proficiency in managing and manipulating huge datasets in terabytes
  • Experience with Hadoop, Apache Spark, Apache Hive on cloud (GCP preferred)
  • Coding skills in Scala and Python
  • Experience with Airflow
  • Strong SQL skills (Big Query or SPARK SQL)
  • Experience with Kafka preferred
  • Strong data modeling skills
  • Analytical and problem-solving skills
  • Effective communication and collaboration skills

Benefits For Senior, Data Engineer

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

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