Hiring: (USA) Principal, Software Engineer Company: Walmart Global Tech Location: Sunnyvale, CA Job Posted Time: 2026-09-11 10:43:33 Employment Type: Hybrid Target Skills & Keywords : AWS, Airflow, Azure, CI/CD, Data Pipeline, ELT, ETL, Epic Systems, GCP, Hadoop, Java, Kafka, Machine Learning, Python, Scala, Spark About the job Required Skills: •Lead the architecture and delivery of scalable, cloud-native data pipelines and reusable data infrastructure aligned to strategic roadmaps. •Own the end-to-end data engineering lifecycle: ingestion, transformation, orchestration, testing, deployment, and monitoring of large-scale distributed data systems. •Design and build high-throughput, low-latency pipelines (batch and streaming) that produce ML-ready features and datasets for search and personalization models. •Provide technical leadership and mentorship across data engineering teams, promoting best practices in data modeling, pipeline design, and architectural consistency. •Partner with ML, search, and product stakeholders to translate business and model requirements into scalable data solutions and measurable success metrics. •Ensure data quality, lineage, and reliability through observability, validation frameworks, and SLA ownership across pipelines. •Drive continuous improvement through innovation, knowledge sharing, and adoption of emerging data engineering technologies. Qualifications: •Extensive experience leading large-scale data engineering initiatives, including distributed data processing, data modeling, and cloud-native data platforms. •Proven expertise with big data technologies (e.g., Spark, Kafka, Hadoop) and data pipeline orchestration tools (e.g., Airflow). •Strong programming skills in Python, Java, or Scala, with experience building production-grade ETL/ELT and streaming pipelines. •Comprehensive expertise in data warehousing, feature engineering, and data infrastructure supporting ML/AI systems. •Demonstrated ability to mentor engineers and influence data architecture decisions across teams. •Excellent collaboration and communication skills with cross-functional and ML stakeholders. •Commitment to data quality, continuous improvement, and engineering excellence. Compensation: •$143,000 - $286,000 / year •Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!