

Data Engineer at Sunnyvale, CA
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Sunnyvale, CA, on a contract basis, requiring 8+ years of experience, expertise in Python and Snowflake, and familiarity with machine learning. Hybrid work model (3 days onsite). Pay rate is unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Sunnyvale, CA
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π§ - 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
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Business Integra, is seeking the following. Apply via Dice today!
Role: Data engineer (Tableau, Python, Snowflake).
Location: Sunnyvale, CA ( 3days Hybrid)
Contract Role
Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.
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, Google Cloud Platform) for data engineering and machine learning.
β’ Knowledge of CI/CD pipelines for data and ML workflows.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Business Integra, is seeking the following. Apply via Dice today!
Role: Data engineer (Tableau, Python, Snowflake).
Location: Sunnyvale, CA ( 3days Hybrid)
Contract Role
Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.
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, Google Cloud Platform) for data engineering and machine learning.
β’ Knowledge of CI/CD pipelines for data and ML workflows.