Snowflake

Product Management

SeniorDataEngineer-Product

$168–242k Menlo Park, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer - Product at Snowflake. Skills: Snowflake, Python, SQL, Data Pipelines. Design data pipelines. Develop data pipelines”

What You'll Achieve.

accelerate their work; improve data quality; ensure consistency across pipelines; ensure consistency across dashboards; shape the future of our data ecosystem

Industry & Context.

Product Management
Problems you'll solve

problem-solving skills

Eligibility Requirements

follow confidentiality and security standards, abide by data security plan, keep customer information secure and confidential

What They're Looking For.

Must Have

Bachelor’s degree in Computer Science, hands-on experience with Snowflake, data modeling, ETL/ELT development, performance tuning, Advanced proficiency in Python, scripting, automating data workflows, experience working with Spark, building Streamlit applications, command of SQL, Familiarity with cloud platforms, AWS, Azure, GCP, S3, Redshift, BigQuery, problem-solving skills, communication skills

Nice to Have

Master’s degree in Computer Science, understanding of data warehousing principles, architecture, best practices, Experience working within Agile development frameworks

What You'll Do.

Design data pipelines

Develop data pipelines

Maintain data pipelines

Own cost optimization

Manage cost optimization

Optimize pipelines performance

Optimize pipelines reliability

Optimize pipelines efficiency

Build reporting platforms

Maintain reporting platforms

Deliver data solutions

Implement data governance

Implement security best practices

Implement access control policies

Develop data quality checks

Enforce data quality checks

Develop SLA monitoring

Enforce SLA monitoring

Develop dependency tracking

Enforce dependency tracking

Utilize version control systems

Manage deployment workflows

Troubleshoot data issues

How You'll Work.

Team & Collaboration

partner closely with product; partner closely with data scientists; Collaborate with cross-functional teams; part of a collaborative team

Communication Scope

communication skills

Full Job Description

At Snowflake, we are powering the era of the agentic enterprise. 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. 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. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies. 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. 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 wi

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