Google Cloud Platform Data Engineer

Google Cloud Platform Data Engineer

Hybrid Bentonville, AR

6 months Contract to Hire (CTH)

Must haves:
Google Cloud Platform Data Engineering

KEY RESPONSIBILITIES

• Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and Google Cloud Platform 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 Google Cloud Platform data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow
• Solid understanding of ETL/ELT patterns and data warehousing principles

PREFERRED QUALIFICATIONS

• Google Cloud Platform 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