Tech Genius inc
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Phoenix, AZ, with a long-term contract and a pay rate on a W2 basis. Requires 6+ years of experience in GCP, Python, data analytics, and Tableau, along with understanding AI/ML concepts.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
344
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🗓️ - Date
July 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#BigQuery #Data Architecture #Data Analysis #GCP (Google Cloud Platform) #ML (Machine Learning) #Tableau #AI (Artificial Intelligence) #Data Engineering #Cloud #Python
Role description
Job title: GCP Data engineer
Location: Phoenix, AZ(onsite)
Duration: Long term
Experience: Min 6 years
Visa: OPT,CPT, H4 EAD & L2
Mode of hiring: W2
Job Description:
Strong experience with Google Cloud Platform (GCP) services including BigQuery, Dataproc, and Cloud Composer
Collaborate with partner teams to strengthen and enhance target data architecture
Solid understanding of Data Analytics concepts and methodologies
Perform Exploratory Data Analysis (EDA) to identify trends and business insights
Experience designing, developing, and optimizing Tableau Dashboards
Strong knowledge of Python
Experience working with large-scale data environments
Understanding of AI/ML concepts and applications
Job title: GCP Data engineer
Location: Phoenix, AZ(onsite)
Duration: Long term
Experience: Min 6 years
Visa: OPT,CPT, H4 EAD & L2
Mode of hiring: W2
Job Description:
Strong experience with Google Cloud Platform (GCP) services including BigQuery, Dataproc, and Cloud Composer
Collaborate with partner teams to strengthen and enhance target data architecture
Solid understanding of Data Analytics concepts and methodologies
Perform Exploratory Data Analysis (EDA) to identify trends and business insights
Experience designing, developing, and optimizing Tableau Dashboards
Strong knowledge of Python
Experience working with large-scale data environments
Understanding of AI/ML concepts and applications
