(USA) Data Engineer III
About The Position
As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. You will apply data modeling, integration, and transformation expertise to ensure data quality, accessibility, and compliance with regulatory standards. The role involves working across business domains to translate requirements into data solutions, advancing data governance practices, and supporting enterprise data strategies. You will join the External Data Engineering team, which integrates and transforms external datasets for strategic data intelligence. The team builds scalable pipelines, applies data modeling, and uses technologies including Apache Spark and cloud platforms to deliver governed data solutions. Team members collaborate to improve business insights and operational efficiency while addressing data governance, security, and compliance needs.
Requirements
- Extensive experience in data engineering across multiple platforms.
- Strong proficiency in Scala and Spark for data processing, analytics, and scalable pipeline development.
- Practical experience with Google Cloud Platform services such as BigQuery, GCS, and Dataproc, and near-real-time data ingestion using Kafka and Spark Structured Streaming.
- Strong working knowledge of SQL and NoSQL systems and in-depth understanding of data warehousing concepts and best practices.
- Proficiency with Git/version control, CI/CD pipelines, workflow schedulers such as Airflow, and large-scale datasets.
- Bachelor’s degree in Computer Science and 2 years of experience in software engineering or a related field; or 4 years of experience in software engineering or a related field; or a master's degree in Computer Science.
Nice To Haves
- Familiarity with BI or visualization tools such as Tableau or Looker.
- Hands-on exposure to Generative AI (GenAI) and Agentic AI.
- Experience in data engineering, database engineering, business intelligence, or business analytics.
- Master’s degree in Computer Science or a related field and 2 years of experience in software engineering or a related field.
- Knowledge of creating inclusive digital experiences, implementing WCAG 2.2 AA standards, using assistive technologies, and applying digital accessibility best practices.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes for business analytics and reporting.
- Collaborate with cross-functional teams to identify data requirements and translate them into data models and solutions.
- Implement data integration and ingestion strategies using cloud and big data technologies, including Apache Spark and data lakes.
- Ensure data quality, governance, and regulatory compliance throughout the data lifecycle.
- Optimize data storage, transformation, and retrieval processes for performance and scalability.
- Develop and test data-processing code, and support deployment and documentation.
- Stay current with data engineering trends and best practices to drive continuous improvement.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase plan, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
- Live Better U education benefit, including tuition, books, and fees for eligible programs.
- Annual or quarterly performance bonuses; stock may be available for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
