FUSTIS LLC

GCP Data Engineer (Need Ex Walmart) - W2 Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Bentonville, AR, with a contract length of over 6 months at $65/hr. Requires 3+ years of data engineering experience, proficiency in GCP, Spark, Airflow, and SQL, with previous Walmart experience preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date
June 17, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Bentonville, AR
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🧠 - Skills detailed
#Monitoring #Dataflow #Scala #ML (Machine Learning) #SQL (Structured Query Language) #Apache Spark #AI (Artificial Intelligence) #Kafka (Apache Kafka) #Apache Airflow #BigQuery #GCP (Google Cloud Platform) #Forecasting #Documentation #Data Quality #Storage #Airflow #Data Engineering #Datasets #"ETL (Extract #Transform #Load)" #Data Processing #Spark (Apache Spark) #Cloud #Data Pipeline #SQL Queries #Data Access
Role description
Job Role: Senior Data Engineer Pay Rate: $65/hr. on W2 Location: 5 times a week in Bentonville, AR Eligibility: No H1b, OPT NOTE: Previous Walmart is preferred, however they need a good reference and can’t have worked for Walmart in the last 6 months Must Haves: GCP SPARK Airflow SQL GCP Data services AI/ML IS A super nice to have Job description: KEY RESPONSIBILITIES β€’ Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow β€’ Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries β€’ Build and maintain data pipelines feeding AI/ML feature stores and forecasting models β€’ Collaborate with AI Developers to ensure high-quality, low-latency data access for model training β€’ Manage and optimize Cloud Composer DAGs and pipeline orchestration β€’ Implement data quality monitoring, alerting, and lineage tracking β€’ Participate in data platform architecture decisions and documentation REQUIRED QUALIFICATIONS β€’ 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience β€’ Hands-on experience with Apache Airflow for pipeline orchestration β€’ Proficiency in Apache Spark for large-scale data processing β€’ Strong SQL skills including complex query optimization and BigQuery-specific capabilities β€’ Experience with GCP data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow β€’ Solid understanding of ETL/ELT patterns and data warehousing principles PREFERRED QUALIFICATIONS β€’ GCP Professional Data Engineer certification β€’ Experience supporting ML/AI data infrastructure (feature engineering, training datasets) β€’ Familiarity with real-time streaming (Kafka, Dataflow/Flink) β€’ Retail or large-scale consumer data experience