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GCP Data Engineer (Need Ex Walmart) - W2 only

Job

FUSTIS LLC

Bella Vista, AR (In Person)

$135,200 Salary, Full-Time

Posted 4 days ago (Updated 17 hours ago) • Actively hiring

Expires 7/21/2026

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Job Description

GCP Data Engineer (Need Ex Walmart) - W2 only at
FUSTIS LLC GCP
Data Engineer (Need Ex Walmart) - W2 only at
FUSTIS LLC
in Bella Vista, Arkansas Posted in 1 day ago.
Type:
full-time
Job 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
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
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
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