# Senior Data Engineer - Product

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Data Engineering
**Salary:** $168k – $242k/yr
**Skills:** Snowflake, Python, Spark, Streamlit, SQL, AWS, Azure, GCP, ETL, ELT
**Posted:** 2026-05-21

> Design, build, and maintain scalable Snowflake data pipelines for Product and Data Science teams, with ownership of cost optimization, performance tuning, and Streamlit dashboards.

## Job Description

## 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

## 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
- Proven experience working with Spark for large-scale data processing
- 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

## 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)

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