KPG99 INC

GCP Data Analytics Engineer - Onsite in NC

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Analytics Engineer in Chicago, IL, on a 6+ month contract-to-hire basis, offering W2 only. Key qualifications include 5+ years of GCP experience, strong BigQuery and SQL skills, and data architecture expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
North Carolina, United States
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🧠 - Skills detailed
#Data Governance #Agile #Scala #BigQuery #SQL (Structured Query Language) #Documentation #Data Architecture #BI (Business Intelligence) #GCP (Google Cloud Platform) #Data Modeling #Cloud #GitHub #SaaS (Software as a Service)
Role description
Independent Candidates Only - W2 Only Job Title: GCP Data Analytics Engineer Location: Chicago, IL (Hybrid – 4 Days Onsite, Local to Illinois Preferred) Duration: 6+ Month Contract-to-Hire No Sponsorship offered Position Overview We are seeking a GCP Data Analytics Engineer to join a cloud-first, SaaS-focused organization. This role is ideal for someone who enjoys solving complex business problems, building scalable data solutions, and delivering trusted analytics in a modern Google Cloud environment. The ideal candidate will have strong experience with Google Cloud Platform (GCP), BigQuery, data modeling, SQL development, and business intelligence reporting. You will design and maintain analytics data foundations, develop reporting solutions, automate data workflows, and collaborate closely with business stakeholders to deliver reliable, scalable insights. Required Qualifications • 5+ years of experience working with Google Cloud Platform (GCP). • Strong expertise in BigQuery and advanced SQL development. • 3+ years of experience in Data Architecture and Data Modeling. • Experience building scalable analytics solutions in cloud environments. • Hands-on experience with GitHub and modern source control practices. • Strong understanding of data governance, documentation, and repeatable engineering processes. • Excellent communication and stakeholder management skills. • Experience working in Agile development environments.