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
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💰 - Day rate
Unknown
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🗓️ - Date
January 15, 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
United States
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🧠 - 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