

AMISEQ
Senior Data Engineer / Cloud Database Engineer (GCP)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer / Cloud Database Engineer (GCP) with a contract length of "unknown" and a pay rate of "unknown." Key skills include expertise in relational databases, GCP, and data pipeline development. A Bachelor’s degree and 5+ years of experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Storage #Golang #Oracle #Cloud #Databases #Monitoring #Security #Data Pipeline #Programming #Database Management #PostgreSQL #"ETL (Extract #Transform #Load)" #Dataflow #Python #Computer Science #ML (Machine Learning) #SQL (Structured Query Language) #Clustering #BigQuery #Data Engineering #Disaster Recovery #MySQL #Database Administration #GCP (Google Cloud Platform) #Java #SQL Server #Logging
Role description
US Citizen candidate only
We are seeking an experienced Senior Data Engineer / Cloud Database Engineer to serve as the lead point of contact for a large-scale data platform built on Google Cloud Platform (GCP). This role requires strong collaboration with business and technical stakeholders, deep expertise in relational databases, and hands-on experience designing, optimizing, and supporting cloud-based data solutions.
Must-Have Qualifications
• US Citizen
• Bachelor’s degree in Computer Science or equivalent practical experience
• 5+ years of experience with relational databases such as:
• PostgreSQL
• MySQL
• SQL Server
• Oracle
• Proven experience working with business stakeholders to gather requirements and translate them into technical solutions
• Strong knowledge of Google Cloud Platform (GCP) best practices
Preferred Skills & Experience
• Experience with database management tools for:
• Backup and recovery
• Snapshot management
• Sharding and partitioning
• Performance tuning
• Hands-on experience with GCP database services, including:
• AlloyDB
• Cloud SQL
• BigQuery
• Experience with data warehousing and data pipelines, including:
• ETL / ELT processes
• Dataflow
• Cloud Functions
• Familiarity with MLOps and machine learning workflows
• Experience with application development and system integration
• Strong background in database administration, including:
• Storage and clustering
• High availability and disaster recovery
• Security and auditing
• Monitoring and logging
• Experience developing, deploying, and managing machine learning models
• Programming experience in one or more of the following:
• Java
• Python
• Golang
US Citizen candidate only
We are seeking an experienced Senior Data Engineer / Cloud Database Engineer to serve as the lead point of contact for a large-scale data platform built on Google Cloud Platform (GCP). This role requires strong collaboration with business and technical stakeholders, deep expertise in relational databases, and hands-on experience designing, optimizing, and supporting cloud-based data solutions.
Must-Have Qualifications
• US Citizen
• Bachelor’s degree in Computer Science or equivalent practical experience
• 5+ years of experience with relational databases such as:
• PostgreSQL
• MySQL
• SQL Server
• Oracle
• Proven experience working with business stakeholders to gather requirements and translate them into technical solutions
• Strong knowledge of Google Cloud Platform (GCP) best practices
Preferred Skills & Experience
• Experience with database management tools for:
• Backup and recovery
• Snapshot management
• Sharding and partitioning
• Performance tuning
• Hands-on experience with GCP database services, including:
• AlloyDB
• Cloud SQL
• BigQuery
• Experience with data warehousing and data pipelines, including:
• ETL / ELT processes
• Dataflow
• Cloud Functions
• Familiarity with MLOps and machine learning workflows
• Experience with application development and system integration
• Strong background in database administration, including:
• Storage and clustering
• High availability and disaster recovery
• Security and auditing
• Monitoring and logging
• Experience developing, deploying, and managing machine learning models
• Programming experience in one or more of the following:
• Java
• Python
• Golang






