Sr Data Engineer

Company : Diverse Lynx
Location : San Francisco, CA, 94102
Posted Date : 23 October 2025
Job Type : Other
Category : Software Development
Occupation : Data Engineer
Job Details
Senior Data Engineer
Key Skills: Tableau, Python, Snowflake.
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:
Key Skills: Tableau, Python, Snowflake.
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:
- Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
- Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
- Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
- Build and optimize data models and architecture to support analytics and reporting needs.
- Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
- Explore opportunities to incorporate machine learning solutions into data engineering workflows.
- 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
- Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
- Extensive experience working with offshore and cross-functional teams.
- Excellent communication, problem-solving, and teamwork skills.
- Experience with machine learning concepts and applications.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
- Knowledge of CI/CD pipelines for data and ML workflows.
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