

FUSTIS LLC
GCP Data Engineer (Need Ex Walmart) - W2 Only
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date
June 17, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Bentonville, AR
-
π§ - 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 canβt 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
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 canβt 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






