Data Engineer Only W2

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Sunnyvale, CA, on a W2 contract. Requires 6+ years of experience in data engineering, proficiency in Python and Snowflake, and familiarity with cloud platforms. Key skills include data pipelines, machine learning, and Tableau.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 20, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #ML (Machine Learning) #Data Engineering #Data Integration #Scala #Cloud #Snowflake #Tableau #Python #Azure #GCP (Google Cloud Platform) #Data Pipeline
Role description
Title Data engineer Location: Sunnyvale, CA Job Type: Contract Only W2 Skill (Tableau, Python, Snowflake). JD-: Key Responsibilities: β€’ Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake. β€’ Collaborate with business stakeholders to gather and translate requirements into actionable solutions. β€’ Partner with cross-functional platform teams and offshore resources to ensure seamless project execution. β€’ Build and optimize data models and architecture to support analytics and reporting needs. β€’ Monitor and improve data integration processes, ensuring accuracy, reliability, and performance. β€’ Explore opportunities to incorporate machine learning solutions into data engineering workflows. Qualifications: β€’ 6+ years of experience in data engineering, with a strong focus on Python and Snowflake. β€’ Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions. β€’ Extensive experience working with offshore and cross-functional teams. β€’ Excellent communication, problem-solving, and teamwork skills. β€’ Experience with machine learning concepts and applications. β€’ Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning. β€’ Knowledge of CI/CD pipelines for data and ML workflows.