

Relanto
Data Engineer (GCP)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (GCP) with a contract length of "X months" at a pay rate of "$X/hour". Key skills required include Python, SQL, PySpark, BigQuery, and Apache Airflow. A Bachelor’s degree and GCP certification are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Fremont, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #GIT #Data Analysis #Computer Science #GCP (Google Cloud Platform) #Kubernetes #Data Pipeline #PySpark #Data Quality #Data Governance #Python #Monitoring #Spark (Apache Spark) #Terraform #Cloud #Kafka (Apache Kafka) #Apache Airflow #dbt (data build tool) #Infrastructure as Code (IaC) #Docker #SQL (Structured Query Language) #Data Engineering #Storage #Airflow #Code Reviews #Security #BigQuery #Logging #Data Processing #SQL Queries #Scala #Data Science
Role description
Job Description:
We are looking for a skilled Data Engineer with proven experience in building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (GCP). The ideal candidate should have hands-on expertise in Python, SQL, PySpark, BigQuery, Airflow, and modern ETL/ELT frameworks.
The role involves working closely with analytics, business, and engineering teams to enable reliable and scalable data solutions.
Responsibilities
• Design, develop, and maintain scalable data pipelines using Python and PySpark
• Build and optimize ETL/ELT workflows using Apache Airflow
• Develop data transformation models and workflows using dbt
• Work with BigQuery for data warehousing, querying, and optimization
• Write efficient and optimized SQL queries for large-scale data processing
• Ensure data quality, integrity, and reliability across pipelines
• Collaborate with Data Analysts, Data Scientists, and business stakeholders for data requirements
• Monitor and troubleshoot production data workflows and resolve issues proactively
• Implement best practices for logging, monitoring, testing, and CI/CD
• Optimize cloud resource usage and cost efficiency on GCP
• Participate in code reviews and engineering best practices
Required Skills
• Strong hands-on experience with Python and SQL
• Experience with PySpark and distributed data processing
• Good knowledge of BigQuery and GCP services
• Experience with Apache Airflow for orchestration
• Hands-on experience with dbt for data transformation and modeling
• Understanding of ETL/ELT frameworks and data warehousing concepts
Familiarity with GCP services such as:
• BigQuery
• Cloud Storage
• Dataproc
• Composer
• Pub/Sub
• Experience with Git and CI/CD practices
• Strong analytical and problem-solving skills
Good to Have
• Exposure to streaming pipelines using Kafka or Pub/Sub
• Understanding of data governance and security concepts
• Experience with Terraform or Infrastructure as Code
• Knowledge of containerization (Docker/Kubernetes)
Preferred Qualification
• Bachelor’s degree in Computer Science, Engineering, or related field
• GCP certification is a plus
Job Description:
We are looking for a skilled Data Engineer with proven experience in building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (GCP). The ideal candidate should have hands-on expertise in Python, SQL, PySpark, BigQuery, Airflow, and modern ETL/ELT frameworks.
The role involves working closely with analytics, business, and engineering teams to enable reliable and scalable data solutions.
Responsibilities
• Design, develop, and maintain scalable data pipelines using Python and PySpark
• Build and optimize ETL/ELT workflows using Apache Airflow
• Develop data transformation models and workflows using dbt
• Work with BigQuery for data warehousing, querying, and optimization
• Write efficient and optimized SQL queries for large-scale data processing
• Ensure data quality, integrity, and reliability across pipelines
• Collaborate with Data Analysts, Data Scientists, and business stakeholders for data requirements
• Monitor and troubleshoot production data workflows and resolve issues proactively
• Implement best practices for logging, monitoring, testing, and CI/CD
• Optimize cloud resource usage and cost efficiency on GCP
• Participate in code reviews and engineering best practices
Required Skills
• Strong hands-on experience with Python and SQL
• Experience with PySpark and distributed data processing
• Good knowledge of BigQuery and GCP services
• Experience with Apache Airflow for orchestration
• Hands-on experience with dbt for data transformation and modeling
• Understanding of ETL/ELT frameworks and data warehousing concepts
Familiarity with GCP services such as:
• BigQuery
• Cloud Storage
• Dataproc
• Composer
• Pub/Sub
• Experience with Git and CI/CD practices
• Strong analytical and problem-solving skills
Good to Have
• Exposure to streaming pipelines using Kafka or Pub/Sub
• Understanding of data governance and security concepts
• Experience with Terraform or Infrastructure as Code
• Knowledge of containerization (Docker/Kubernetes)
Preferred Qualification
• Bachelor’s degree in Computer Science, Engineering, or related field
• GCP certification is a plus





