Optomi

GCP Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer on a 7-month W2 contract, paying $50-$60/hr. Required skills include 5-6 years of ML/Data Engineering experience, proficiency in SQL and Python, and GCP knowledge, including Cloud Composer and CI/CD integrations.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
June 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta Metropolitan Area
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Terraform #Kubernetes #Cloud #GCP (Google Cloud Platform) #MLflow #Automation #Airflow #Deployment #Data Engineering #Migration #ML (Machine Learning) #Python #SageMaker #SQL (Structured Query Language) #Data Science #GitHub
Role description
Job Title: ML Data Engineer Contract Type: W2/GCH only - no C2C / no 1099 Job Type/Length: 7-month contract; high potential to convert or extend Job Location: Remote, client based out of Atlanta GA Job Pay Rate: $50 - $60/hr About the Position / Current Initiatives: This role involves supporting the migration of AI and ML models from analytics to an IT environment, including adding data engineering pipelines and productionizing models. About the Team Structure & Culture: The Pricing team consists of AI and ML engineers working on model migration initiatives, with a collaborative and cross-functional approach involving the data science team. Job Must Haves: • 5-6 YOE with ML/Data Engineering • Experience with SQL and Python • GCP experience - Cloud Composer, Gemini / Vertex AI, etc. • Knowledge of CI/CD integrations (pipelines, automation, deployments) • Experience with Airflow, Dataform, GitHub Actions, Terraform, and Kubernetes Job Nice to Haves:GCP background • Experience with MLflow, Kubeflow, or SageMaker What the right candidate will enjoy: • Engaging in cross-functional collaboration with data science and IT teams. • Working in a dynamic environment that encourages learning and adapting to new technologies. • Being part of a team that values open communication and innovation.