New York Technology Partners

W2 Only - Data Analytics Engineer- Google Cloud Platform

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 6-month contract Data Analytics Engineer focused on Google Cloud Platform, requiring 3+ years of GCP analytics experience, SQL, and Python proficiency. Remote work is available, with a strong preference for SAS-to-GCP migration experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date
November 5, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Data Governance #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #SAS #Data Pipeline #"ETL (Extract #Transform #Load)" #Python #Security #SQL (Structured Query Language) #Cloud #Migration #Data Science #BI (Business Intelligence)
Role description
Job Title: Data Analytics Engineer (GCP) Position Type: 6 Months Contract to Hire Location: Remote (EST) Overview We’re seeking a hands-on Data Analytics Engineer experienced in building and enabling analytics solutions on Google Cloud Platform. The role focuses on designing end-to-end data pipelines, enabling analytics users, and driving organizational adoption of GCP services. This is an immediate opening to replace a 10-year experienced data scientist, with strong potential for full-time conversion. Key Responsibilities Architect and implement data pipelines and analytics workflows leveraging GCP services such as Data Flow, Data Prep, Data Form, Dataplex, Vertex AI, and Cloud Composer. Partner with business and technology teams to document requirements, identify best-fit solutions, and manage risks. Enable data preparation and transformation for reporting, BI, and advanced analytics use cases. Lead enablement sessions and β€œOffice Hours” to train and support analysts and business users across cloud-enabled services. Coordinate with Google Cloud teams and vendors to troubleshoot and optimize delivery timelines. Champion cloud adoption and analytics literacy through communication, training, and stakeholder engagement. Required Skills & Experience 3+ years of hands-on experience in Analytics on GCP. Experience with SAS-to-GCP migration or hybrid environments. Strong understanding of data preparation, ETL/ELT, and analytics enablement. Proficiency with SQL and Python (or SAS background preferred). Demonstrated ability to liaise between business, data science, and technology teams. Excellent communication and change-management skills. Nice to Have Familiarity with data governance and cloud security best practices.