Red Oak Technologies
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Sunnyvale, CA, lasting 12 months with possible extensions. Requires 10-15 years of experience, proficiency in Python and SQL, knowledge of Snowflake and cloud environments, and a background in FinOps preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
November 6, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Redis #GCP (Google Cloud Platform) #BI (Business Intelligence) #AWS (Amazon Web Services) #Data Engineering #Cloud #Microsoft Power BI #Tableau #Python #Visualization #Snowflake #Terraform
Role description
“NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).”
Title: Data Engineer
Location: Sunnyvale, CA
Duration: 12 months + possible extensions
Qualifications:
• 10–15 years of experience in data engineering or data analytics roles.
• Proficiency in Python and SQL for building financial and operational data models.
• Experience with Snowflake, Redis, and cloud-based data environments (AWS or GCP).
• Understanding of data warehousing and financial reporting frameworks.
• Familiarity with dashboards or visualization tools such as Tableau, Power BI, or similar.
• Exposure to Terraform and infrastructure-as-code practices is a plus.
Background in FinOps or cloud cost management is strongly preferred.
“NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).”
Title: Data Engineer
Location: Sunnyvale, CA
Duration: 12 months + possible extensions
Qualifications:
• 10–15 years of experience in data engineering or data analytics roles.
• Proficiency in Python and SQL for building financial and operational data models.
• Experience with Snowflake, Redis, and cloud-based data environments (AWS or GCP).
• Understanding of data warehousing and financial reporting frameworks.
• Familiarity with dashboards or visualization tools such as Tableau, Power BI, or similar.
• Exposure to Terraform and infrastructure-as-code practices is a plus.
Background in FinOps or cloud cost management is strongly preferred.
