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Data Engineer Bentonville, AR (Hybrid Onsite) W2 Only
Job Location:
Job Location:
Bentonville, AR - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
21 June 2026 (30+ days ago)
Posted:
Application Deadline:
18 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role: Data Engineer
Location: Bentonville AR (4 days onsite/week)
Duration: 12 Months Contract to Hire
W2 Only...
Work Authorization: U.S. Citizens and Green Card Holders preferred all valid work authorizations may apply
Work Authorization: U.S. Citizens and Green Card Holders preferred all valid work authorizations may apply
Education Requirement - Bachelors 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 GCP 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 GCP 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 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
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
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
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
