Senior Data Engineer

About the Role

Join our Data Platform team at 10x Genomics as a Senior Data Engineer, where you'll be pivotal in shaping our data infrastructure using modern software engineering practices. In this role, you will:

• Enhance data management and visualization using Snowflake and Tableau.
• Apply software engineering principles to optimize Data Engineering processes.
• Drive growth in data analysis and business analytics, creating actionable insights.
• Collaborate effectively across teams, demonstrating strong self-initiative and problem-solving skills.

What you will be doing

• Collaborate with stakeholders to define data and reporting requirements, translating them into technical specifications and implementing them.
• Develop and refine datasets and data models in Snowflake, ensuring company-wide consistency.
• Source and integrate diverse data sets to improve data accessibility to other teams.
• Architect and maintain robust ETL/ELT processes, adhering to best software engineering practices.
• Implement Infrastructure-as-Code for efficient data platform management.
• Create advanced reports and visualizations in Tableau, making complex data actionable.
• Resolve technical issues and perform ad-hoc data analysis to support business decisions.
• Engage with customers to understand their needs and enhance user experiences.
• Review and provide feedback on the work of fellow engineers to ensure overall quality and performance.
• Explore and integrate new technologies and vendors to enhance our data capabilities.
• Stay updated with the latest trends in Data Engineering, bringing innovative solutions to our platform.

Minimum Requirements

• Bachelor's degree in Computer Science, Information Management, Data Science, or a related field, or possess equivalent experience.
• 8 years of experience in Data Engineering or business intelligence, with a focus on data warehousing, data pipelines, and modeling.
• Experienced with technical tools such as SQL, Python, or other similar programming languages.
• Project management skills and the ability to communicate complex data issues clearly.
• Experience implementing 'as-code' practices within Data Engineering.

Preferred Skills and Experience

• Possess extensive knowledge in building scalable data pipelines and infrastructure.
• Demonstrate expert knowledge in data modeling concepts and practical implementation.
• Balance strategic thinking with attention to technical details.
• Exhibit proficiency in SQL, ETL/ELT, and data analysis.
• Have hands-on experience processing large data sets.
• Strong troubleshooting & problem-solving ability.
• Uphold values of growth mindset, honesty, and humility.
• Possess experience in data governance and quality improvement.
• Be familiar with modern data tools, such as Airflow and Databricks.
• Understand and adhere to data privacy standards, including GDPR and CCPA, and practice data security best measures.

Core Technologies

• Snowflake
• Tableau
• Python (or similar general-purpose languages)

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