

FUSTIS LLC
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer with a contract length of "unknown", offering a pay rate of $50/hr W2. Requires 5+ years of data engineering experience, proficiency in Apache Airflow, Apache Spark, and GCP services, with a preferred GCP Professional Data Engineer certification.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
400
-
🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Arkansas, United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Dataflow #Airflow #SQL Queries #"ETL (Extract #Transform #Load)" #Data Pipeline #SQL (Structured Query Language) #Data Access #Kafka (Apache Kafka) #Spark (Apache Spark) #Monitoring #Cloud #Data Quality #Documentation #Storage #Scala #Forecasting #BigQuery #GCP (Google Cloud Platform) #Datasets #ML (Machine Learning) #Apache Spark #Data Engineering #Apache Airflow #Data Processing
Role description
Job Description:
Job Title : GCP Data Engineer
Pay rate will be $50/hr W2
Eligibility : USC, GC, GC-EAD and H4-EAD
Experience : 5+ years
DL and LinkedIn must
Must haves:
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
Job Description:
Job Title : GCP Data Engineer
Pay rate will be $50/hr W2
Eligibility : USC, GC, GC-EAD and H4-EAD
Experience : 5+ years
DL and LinkedIn must
Must haves:
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






