Senior, Data Engineer (Scala/Spark)

World's leading retailer focused on helping people save money so they can live better, combining retail and technology innovation.
$117,000 - $234,000
Data
Senior Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
Enterprise SaaS · Retail

Description For Senior, Data Engineer (Scala/Spark)

Walmart Global Tech is seeking a Senior Data Engineer to join their Data Ventures team in Sunnyvale, CA. This role focuses on building and managing data pipelines using Scala/Spark, helping suppliers generate detailed reporting with modern tech stacks like Deltashare, Databricks, and Snowflake. The position offers a hybrid work environment and competitive compensation ($117K-$234K).

The Data Ventures team works closely with US stores and eCommerce business, focusing on unlocking the full value of Walmart's data through B2B data initiatives. The role requires extensive experience in data engineering, particularly with Scala, and involves leading small teams, mentoring engineers, and driving complex projects from conception to deployment.

Key responsibilities include building scalable data solutions, managing project timelines, and implementing best practices in data architecture. The ideal candidate will have 8+ years of data engineering experience, strong Scala expertise, and proven experience with big data technologies. They should excel in both technical implementation and team leadership.

Benefits include comprehensive health coverage, 401(k) matching, stock purchase plans, paid time off, parental leave, and educational assistance. The position offers opportunities to work on large-scale data solutions that impact millions of customers while contributing to Walmart's mission of helping people save money and live better.

Note: Immigration sponsorship is not available for this role.

Last updated 2 days ago

Responsibilities For Senior, Data Engineer (Scala/Spark)

  • Lead and mentor small engineering teams, including offshore associates
  • Drive business plans and projects by identifying needs and developing solutions
  • Build data pipelines and ensure timely delivery
  • Translate requirements into technical solutions
  • Measure and adjust performance
  • Implement new architectural patterns
  • Support continuous learning and design improvements
  • Oversee engineering solutions from design to implementation
  • Manage project timelines
  • Promote company policies and ethics

Requirements For Senior, Data Engineer (Scala/Spark)

Scala
Python
  • 8+ years of data engineering experience
  • 5+ years of hands-on professional work experience with Scala
  • Strong recent experience with Scala including working with it on an everyday basis
  • Strong hands-on experience with Hadoop, Hive, Apache Spark, Cloud
  • Python expertise in cloud computing platforms (GCP, BigQuery, Azure)
  • Experience with integration tools like Automic, Airflow
  • Skilled in data modeling and data migration protocols
  • Extensive working knowledge of CI/CD pipelines
  • Strong understanding of software development lifecycle
  • Experience in building highly scalable Big Data solutions
  • Expert in data architecture principles
  • Exceptional communication skills

Benefits For Senior, Data Engineer (Scala/Spark)

Medical Insurance
Vision Insurance
Dental Insurance
401k
Parental Leave
Mental Health Assistance
Education Budget
  • Multiple health plan options including vision & dental plans
  • 401(k) and stock purchase plans
  • Life insurance
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Military service pay
  • Paid Time off including vacation and sick leave
  • Short-term and long-term disability

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