(USA) Staff, Data Engineer

Position Summary...

What you'll do...

What you'll do:

 

Data Quality & Reliability

• Design and implement comprehensive data quality frameworks to ensure operational data freshness, correctness, and accuracy
• Establish automated data validation, monitoring, and alerting systems to proactively identify and resolve data quality issues
• Define and enforce data governance standards and best practices across the organization
• Conduct regular data audits and implement corrective measures to maintain data integrity

Data Pipeline Development

• Architect, build, and maintain scalable ETL/ELT pipelines to ingest operational data into our data warehouse
• Optimize data pipeline performance for efficiency and cost-effectiveness
• Implement real-time and batch processing solutions based on business requirements
• Ensure pipeline reliability through comprehensive testing, monitoring, and error handling

Business Intelligence & Visualization

• Design and develop PowerBI dashboards and reports to support Operational and Engineering Excellence objectives
• Collaborate with stakeholders to understand visualization requirements and translate them into effective data solutions
• Create self-service analytics capabilities to empower business users
• Establish visualization best practices and maintain a library of reusable components

Technical Leadership

• Provide technical mentorship and guidance to junior data engineers
• Participate in architectural decisions and technology selection for data infrastructure
• Collaborate with cross-functional teams including DevOps, Software Engineering, and Business Analytics
• Document technical designs, processes, and best practices
• Participate in on-call rotation for critical data infrastructure support
• Stay current with industry trends and evaluate new technologies for potential adoption

What you'll bring:

 

Required Experience & Technical Skills

• 5+ years of experience in data engineering or related field
• Expert-level proficiency in SQL and at least one programming language (Python, Scala, Java)
• Extensive experience building and maintaining data pipelines using modern orchestration tools (Airflow, Databricks, etc.)
• Strong experience with cloud data platforms (AWS, Azure, or GCP)
• Proficiency in PowerBI development including DAX, data modeling, and advanced visualizations
• Experience with both real-time streaming (Kafka, Kinesis) and batch processing frameworks
• Knowledge of data warehouse design patterns and dimensional modeling
• Proven track record of implementing data quality monitoring and alerting systems
• Experience with DataOps practices and CI/CD for data pipelines
• Understanding of data security, privacy, and compliance requirements

Core Competencies

• Strong analytical and problem-solving abilities
• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders
• Self-motivated with ability to work independently and drive initiatives to completion
• Strong attention to detail and commitment to data accuracy

 

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and