E-Solutions
Google Cloud Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Google Cloud Data Engineer with a 6-month contract at a pay rate of "X". Requires 10+ years of GCP experience, strong Python/SQL skills, and expertise in data governance and CI/CD pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Jersey City, NJ
-
🧠 - Skills detailed
#Jenkins #Docker #NoSQL #Data Governance #Documentation #Clustering #Logging #BigQuery #Java #Kubernetes #Terraform #VPC (Virtual Private Cloud) #SQL (Structured Query Language) #Computer Science #Dataflow #Cloud #Apache Beam #Storage #Data Pipeline #Security #Scala #DevOps #Data Security #Database Design #Data Modeling #"ETL (Extract #Transform #Load)" #Monitoring #Data Integration #Spark (Apache Spark) #Airflow #Data Engineering #IAM (Identity and Access Management) #Python #GCP (Google Cloud Platform)
Role description
Designs, builds, and optimizes secure, scalable, and high-performance data pipelines and analytics solutions using Google Cloud Platform tools like BigQuery, Dataflow, Dataproc, Composer, GCS, Cloud function, Cloud run and Pub/Sub. This role requires 10+ years of experience, expertise in Python/SQL, and implementing data governance and CI/CD pipelines.
Key Responsibilities
• Pipeline Development: Design, build, and optimize end-to-end data pipelines using GCP-native services (Dataflow, Dataproc, Cloud Storage) and Python.
• Data Modeling & Architecture: Create high-quality, reproducible data models in BigQuery using partitioning, clustering, and materialized views to enhance performance and manage costs.
• Streaming & Real-time: Implement real-time streaming pipelines using Pub/Sub and Apache Beam/Spark Streaming.
• Infrastructure & DevOps: Establish CI/CD pipelines for data workflows.
• Security & Governance: Implement best practices for data security, including IAM roles, encryption (CMEK), and VPC Service Controls.
• Collaboration: Work with stakeholders to define requirements, mentor junior engineers, and produce technical documentation.
Required Technical Skills
• Platforms: Deep expertise in Google Cloud Platform (GCP).
• Languages: Strong SQL and Python (or Java) proficiency.
• Tools: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Dataproc, Cloud sql, Cloud run, Cloud function, logging and monitoring
• Data Modeling: Database design, ETL/ELT workflows.
• DevOps: Terraform, Jenkins.
Qualifications
• Experience: 10+ years in GCP data engineering
• Must have delivered at least 4 to 5 end to end projects as a Senior data engineer using GCP Services
• Strong understanding of database design, data modeling (relational, dimensional, NoSQL).
• Expertise in data integration, ETL/ELT, and data pipeline development.
• Knowledge of cloud security best practices, identity management, and networking.
• Familiarity with DevOps, CI/CD, and containerization (Docker, Kubernetes).
• Excellent communication and problem-solving skills.
• Education: Bachelor’s degree in computer science, Engineering, or relevant field.
• Certifications: Google Cloud Professional Data Engineer certification is highly preferred
Designs, builds, and optimizes secure, scalable, and high-performance data pipelines and analytics solutions using Google Cloud Platform tools like BigQuery, Dataflow, Dataproc, Composer, GCS, Cloud function, Cloud run and Pub/Sub. This role requires 10+ years of experience, expertise in Python/SQL, and implementing data governance and CI/CD pipelines.
Key Responsibilities
• Pipeline Development: Design, build, and optimize end-to-end data pipelines using GCP-native services (Dataflow, Dataproc, Cloud Storage) and Python.
• Data Modeling & Architecture: Create high-quality, reproducible data models in BigQuery using partitioning, clustering, and materialized views to enhance performance and manage costs.
• Streaming & Real-time: Implement real-time streaming pipelines using Pub/Sub and Apache Beam/Spark Streaming.
• Infrastructure & DevOps: Establish CI/CD pipelines for data workflows.
• Security & Governance: Implement best practices for data security, including IAM roles, encryption (CMEK), and VPC Service Controls.
• Collaboration: Work with stakeholders to define requirements, mentor junior engineers, and produce technical documentation.
Required Technical Skills
• Platforms: Deep expertise in Google Cloud Platform (GCP).
• Languages: Strong SQL and Python (or Java) proficiency.
• Tools: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Dataproc, Cloud sql, Cloud run, Cloud function, logging and monitoring
• Data Modeling: Database design, ETL/ELT workflows.
• DevOps: Terraform, Jenkins.
Qualifications
• Experience: 10+ years in GCP data engineering
• Must have delivered at least 4 to 5 end to end projects as a Senior data engineer using GCP Services
• Strong understanding of database design, data modeling (relational, dimensional, NoSQL).
• Expertise in data integration, ETL/ELT, and data pipeline development.
• Knowledge of cloud security best practices, identity management, and networking.
• Familiarity with DevOps, CI/CD, and containerization (Docker, Kubernetes).
• Excellent communication and problem-solving skills.
• Education: Bachelor’s degree in computer science, Engineering, or relevant field.
• Certifications: Google Cloud Professional Data Engineer certification is highly preferred
