

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Sunnyvale, CA, with a long-term contract at a pay rate for visa independents. Requires 8-10 years of experience, strong expertise in Python and Snowflake, and familiarity with machine learning and cloud platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
440
-
ποΈ - Date discovered
September 25, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Sunnyvale, CA
-
π§ - Skills detailed
#Azure #Data Engineering #AWS (Amazon Web Services) #Data Pipeline #ML (Machine Learning) #Cloud #Scala #Snowflake #GCP (Google Cloud Platform) #Python #Data Integration
Role description
Role: Senior Data Engineer
Location: Sunnyvale, CA (Day 1 Onsite) We accepts Relocations
Duration: Long term
Experience: 8-10 years
Only visa independents
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, GCP) for data engineering and machine learning.
β’ Knowledge of CI/CD pipelines for data and ML workflows.
Role: Senior Data Engineer
Location: Sunnyvale, CA (Day 1 Onsite) We accepts Relocations
Duration: Long term
Experience: 8-10 years
Only visa independents
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, GCP) for data engineering and machine learning.
β’ Knowledge of CI/CD pipelines for data and ML workflows.