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
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💰 - Day rate
400
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🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Arkansas, United States
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🧠 - 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