Data Engineer 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