What are the responsibilities and job description for the Data Engineer @ Bentonville, AR (Hybrid Onsite) - W2 Only position at HYR Global Source Inc?
Role: Data Engineer
Location: Bentonville, AR (4 days onsite/week)
Duration: 12 Months Contract to Hire
W2 Only...
Education Requirement - Bachelor's Degree in: Computer Science, Information Technology, Or related field
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
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
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
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
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
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
Thanks & Regards,
Namrata Ahuja | Lead Talent Acquisition - US Staffing
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