Data Engineer III

Experteer Overview As a Data Engineer III at Walmart, you design and maintain scalable data pipelines and architectures that support analytics and decision-making. You’ll work across data sources to ensure quality, governance, and seamless integration, collaborating with cross-functional teams to align data strategies with enterprise goals. You’ll leverage Spark and cloud platforms to enable efficient data access and insight generation, driving continual improvement in Walmart’s data ecosystem. This role sits within Global Data Foundations, focusing on enterprise-level data assets to empower AI-enabled decisions. Compensation / Benefits * Design, develop, and maintain scalable data pipelines and ETL processes for analytics and reporting * Collaborate with cross-functional teams to identify data sources and ensure data quality and governance compliance * Build and optimize data models, data lakes, and warehouses using SQL, Spark, and cloud platforms * Implement data ingestion and integration using big data technologies such as Kafka and distributed storage * Analyze complex data flows and propose performance improvements for data accessibility * Support deployment, testing, and documentation of data engineering solutions aligned with enterprise strategy Tasks * Extensive experience in data engineering, including transformation, modeling, and pipeline development * Proficiency in SQL and programming with Python, Java, or similar * Strong knowledge of ETL, data ingestion, and big data tech (Spark, Kafka) * Understanding of data governance, quality frameworks, and data privacy/security requirements * Ability to design scalable data architectures (data lakes and warehouses) * Familiarity with cloud-based data platforms and modern integration methods * Proven ability to analyze complex data flows and develop efficient data models Key requirements * incentive awards * 401(k) match * stock purchase plan * paid maternity and parental leave * PTO * multiple health plans

teams using big data technologies such as Kafka and distributed storage * Analyze complex data flows and propose performance improvements for data accessibility * Support deployment, testing, and documentation of data engineering solutions aligned with enterprise strategy Tasks * Extensive experience in data engineering, including transformation, modeling, and pipeline development * Proficiency in SQL and programming with Python, Java, or similar * Strong knowledge of ETL, data ingestion, and big data tech (Spark, Kafka) * Understanding of data governance, quality frameworks, and data privacy/security requirements * Ability to design scalable data architectures (data lakes and warehouses) * Familiarity with cloud-based data platforms and modern integration methods * Proven ability to analyze complex data flows and develop efficient data models Key requirements * incentive awards * 401(k) match * stock purchase plan * paid maternity and parental leave * PTO * multiple health plans