Visionary Innovative Technology Solutions 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" and a pay rate of "unknown." Key skills include Apache Airflow, Apache Spark, BigQuery, and GCP data services. Requires 3+ years of data engineering experience and strong SQL proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bentonville, AR
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🧠 - Skills detailed
#Dataflow #Forecasting #Monitoring #SQL Queries #Data Processing #Scala #Spark (Apache Spark) #Data Engineering #AI (Artificial Intelligence) #Apache Spark #Data Pipeline #GCP (Google Cloud Platform) #"ETL (Extract #Transform #Load)" #Storage #Data Quality #Airflow #Apache Airflow #BigQuery #Documentation #Data Access #Cloud #ML (Machine Learning) #SQL (Structured Query Language)
Role 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
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
