

Zeus Solutions Inc
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a GCP Data Engineer contract position in Houston, TX, requiring 10+ years of IT experience and 3–4+ years with GCP. Key skills include BigQuery, Cloud Functions, Python, SQL, and DBT. Onsite work is mandatory.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
February 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX 77027
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🧠 - Skills detailed
#dbt (data build tool) #"ETL (Extract #Transform #Load)" #Storage #GCP (Google Cloud Platform) #Deployment #IAM (Identity and Access Management) #Python #Security #Cloud #BigQuery #Scala #Data Engineering #GitHub #Data Pipeline #Data Quality #DevOps #SQL (Structured Query Language) #Google Cloud Storage #Data Modeling
Role description
Job Title: GCP Data Engineer
Location: Houston, TX (100% Onsite)Experience: 10+ years total | 3–4+ years hands-on with GCP
Job Overview
We are looking for a seasoned GCP Data Engineer to design, build, and maintain scalable data pipelines and cloud-native solutions on Google Cloud Platform. This role is fully onsite in Houston and requires strong hands-on expertise across GCP services, data engineering best practices, and modern DevOps workflows.
Key Responsibilities
Design, develop, and maintain data pipelines using Google Cloud Platform
Build and optimize solutions using BigQuery and Google Cloud Storage (GCS)
Develop cloud-native services using Cloud Run, Cloud Functions, and/or Cloud Composer
Implement event-driven architectures using Pub/Sub
Write clean, efficient, and scalable code in Python and SQL
Manage source control, CI/CD pipelines, and deployments using GitHub and DevOps practices
Configure and manage Service Accounts, IAM, and Secrets Manager
Develop and maintain data transformation models using DBT
Collaborate with analytics and business teams, including integrations with Power Apps
Troubleshoot performance, reliability, and data quality issues across the stack
Required Skills & Qualifications
10+ years of overall IT or data engineering experience
3–4+ years of hands-on experience with GCP
Strong expertise in:
BigQuery
GCS
Cloud Run / Cloud Composer
Cloud Functions
Pub/Sub
Advanced Python and SQL skills
Experience with GitHub, CI/CD, and DevOps best practices
Solid understanding of GCP security concepts (IAM, service accounts, secrets)
Hands-on experience with DBT
Experience working with or supporting Power Apps
Nice to Have
Experience designing high-volume, low-latency data pipelines
Strong understanding of data modeling and analytics workloads
Prior experience in enterprise or large-scale cloud environments
Job Type: Contract
Application Question(s):
Do you have 10 or more years of total professional experience?
Do you have 3–4 years of hands-on experience with the Google Cloud Platform (GCP)?
Are you currently located in, or able to work 100% onsite in Houston, TX?
Do you have hands-on experience with BigQuery and Google Cloud Storage (GCS)?
Do you have experience with Cloud Run or Cloud Composer?
Do you have experience with Cloud Functions and Pub/Sub?
Do you have professional experience with Python and SQL?
Do you have experience using GitHub and DevOps practices?
Do you have experience setting up GCP Service Accounts and Secrets Manager?
Do you have hands-on experience with DBT and Power Apps?
Location:
Houston, TX 77027 (Required)
Ability to Commute:
Houston, TX 77027 (Required)
Work Location: In person
Job Title: GCP Data Engineer
Location: Houston, TX (100% Onsite)Experience: 10+ years total | 3–4+ years hands-on with GCP
Job Overview
We are looking for a seasoned GCP Data Engineer to design, build, and maintain scalable data pipelines and cloud-native solutions on Google Cloud Platform. This role is fully onsite in Houston and requires strong hands-on expertise across GCP services, data engineering best practices, and modern DevOps workflows.
Key Responsibilities
Design, develop, and maintain data pipelines using Google Cloud Platform
Build and optimize solutions using BigQuery and Google Cloud Storage (GCS)
Develop cloud-native services using Cloud Run, Cloud Functions, and/or Cloud Composer
Implement event-driven architectures using Pub/Sub
Write clean, efficient, and scalable code in Python and SQL
Manage source control, CI/CD pipelines, and deployments using GitHub and DevOps practices
Configure and manage Service Accounts, IAM, and Secrets Manager
Develop and maintain data transformation models using DBT
Collaborate with analytics and business teams, including integrations with Power Apps
Troubleshoot performance, reliability, and data quality issues across the stack
Required Skills & Qualifications
10+ years of overall IT or data engineering experience
3–4+ years of hands-on experience with GCP
Strong expertise in:
BigQuery
GCS
Cloud Run / Cloud Composer
Cloud Functions
Pub/Sub
Advanced Python and SQL skills
Experience with GitHub, CI/CD, and DevOps best practices
Solid understanding of GCP security concepts (IAM, service accounts, secrets)
Hands-on experience with DBT
Experience working with or supporting Power Apps
Nice to Have
Experience designing high-volume, low-latency data pipelines
Strong understanding of data modeling and analytics workloads
Prior experience in enterprise or large-scale cloud environments
Job Type: Contract
Application Question(s):
Do you have 10 or more years of total professional experience?
Do you have 3–4 years of hands-on experience with the Google Cloud Platform (GCP)?
Are you currently located in, or able to work 100% onsite in Houston, TX?
Do you have hands-on experience with BigQuery and Google Cloud Storage (GCS)?
Do you have experience with Cloud Run or Cloud Composer?
Do you have experience with Cloud Functions and Pub/Sub?
Do you have professional experience with Python and SQL?
Do you have experience using GitHub and DevOps practices?
Do you have experience setting up GCP Service Accounts and Secrets Manager?
Do you have hands-on experience with DBT and Power Apps?
Location:
Houston, TX 77027 (Required)
Ability to Commute:
Houston, TX 77027 (Required)
Work Location: In person






