BayOne Solutions

Snowflake BI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake BI Engineer with a contract length of "unknown" and a pay rate of "unknown." Located in Santa Clara, CA (Hybrid), it requires 8+ years of experience in BI/data engineering, expertise in Snowflake and Oracle EBS, and advanced SQL skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
August 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Clara, CA
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🧠 - Skills detailed
#Cloud #Data Warehouse #Data Engineering #Scala #BI (Business Intelligence) #SQL (Structured Query Language) #dbt (data build tool) #Data Integration #Oracle #"ETL (Extract #Transform #Load)" #Data Modeling #Snowflake #SnowSQL #Dimensional Data Models
Role description
Data Engineer (Snowflake / Oracle EBS) Santa Clara, CA (Hybrid) Key Responsibilities • Lead the design and optimization of enterprise-scale Snowflake data warehouse and analytics platforms. • Build scalable ELT/ETL pipelines, dimensional data models, and enterprise reporting layers. • Drive enterprise data integration initiatives involving Oracle EBS, ERP systems, APIs, and cloud platforms. • Develop solutions using Snowflake, SQL, dbt, stored procedures, and orchestration frameworks. • Establish best practices for data modeling, governance, CI/CD, testing, performance optimization, and operational support. • Serve as the technical lead for enterprise BI and analytics engineering initiatives. • Mentor engineering teams and collaborate with business stakeholders on scalable analytics solutions. Required Qualifications • 8+ years of experience in BI engineering, data engineering, analytics engineering, or enterprise data warehousing. • Strong hands-on expertise with Snowflake, Oracle EBS, enterprise data warehousing, and dimensional modeling. • Advanced SQL, PL/SQL, SnowSQL, and ETL/ELT development experience. • Experience supporting Finance, Supply Chain, Manufacturing, and Operations data domains. • Strong understanding of Oracle EBS architecture, schemas, and enterprise ERP integrations. • Proven experience leading enterprise-scale analytics and data engineering initiatives.