Senior Data Engineer
| Company | Snowflake |
|---|---|
| Location | Menlo Park, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning.
- Advanced proficiency in Python, with experience scripting and automating data workflows.
- Demonstrated experience building Streamlit applications integrated with Snowflake.
- Strong command of SQL for complex data querying and analysis.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery.
- Strong problem-solving and communication skills.
- Ability to thrive both independently and as part of a collaborative, fast-paced team environment.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
- Own and manage cost optimization for Product and Data Science team operations.
- Optimize pipelines for performance, reliability, and efficiency.
- Build and maintain dashboards and reporting platforms using Streamlit.
- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
- Work with modern AI tools, including Cursor, to accelerate development.
- Implement data governance, security best practices, and access control policies.
- Develop and enforce data quality checks, SLA monitoring, and dependency tracking.
- Utilize version control systems (e.g., Git) and manage deployment workflows.
- Proactively troubleshoot and resolve data-related issues.
Preferred Qualifications
- Master’s degree in Computer Science, Engineering, or a related discipline.
- Strong understanding of data warehousing principles, architecture, and best practices.
- Experience working within Agile development frameworks (e.g., Scrum, Kanban).