Title: 3 mid level Data Engineering positions
Location: Hybrid 3 times a week in Bentonville, Arkansas
Must Haves:
GCP
SPARK
Airflow
SQL
GCP Data services
AI/ML IS A super nice to have
Job description: KEY RESPONSIBILITIES " Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow " Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries " Build and maintain data pipelines feeding AI/ML feature stores and forecasting models " Collaborate with AI Developers to ensure high-quality, low-latency data access for model training " Manage and optimize Cloud Composer DAGs and pipeline orchestration " Implement data quality monitoring, alerting, and lineage tracking " Participate in data platform architecture decisions and documentation REQUIRED QUALIFICATIONS " 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience " Hands-on experience with Apache Airflow for pipeline orchestration " Proficiency in Apache Spark for large-scale data processing " Strong SQL skills including complex query optimization and BigQuery-specific capabilities " Experience with GCP data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow " Solid understanding of ETL/ELT patterns and data warehousing principles PREFERRED QUALIFICATIONS " GCP Professional Data Engineer certification " Experience supporting ML/AI data infrastructure (feature engineering, training datasets) " Familiarity with real-time streaming (Kafka, Dataflow/Flink) " Retail or large-scale consumer data experience