data
Posted May 21Senior Data Engineer - Product
at Snowflake
Remote
Responsibilities
- 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
- To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
- You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
- The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies.
- Qualifications - 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 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).
- Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
Benefits
- How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and
Contact
- benefits information: careers.snowflake.com http://careers.snowflake.com
Additional details
- At Snowflake, we are powering the era of the agentic enterprise.
- We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
- In this role, you will design, build, and maintain robust data pipelines, ensuring our data infrastructure is scalable, reliable, and efficient.
- You will partner closely with product and data scientists, providing tools, automation, and best practices to accelerate their work, improve data quality, and ensure consistency across pipelines and dashboards.
- Additionally, you will play a critical role in cost optimization for data operations, owning efficient data modeling and pipeline performance.
- This position is also key in building and scaling our enterprise data warehouse, helping to shape the future of our data ecosystem.
- experience scripting and automating data workflows. - Proven
- It is every employee's duty to keep customer information secure and confidential.
- We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.