Data Engineering Manager - Remote

Overview

This role at SonderMind involves leading a team in the Applied Science function, focusing on Data Engineering and Data Science. You will manage and contribute to the production data warehouse, ensuring the design and accessibility of data ETL pipelines.

In Short

• Lead a team in Data Engineering and Data Science.
• Design and manage ETL pipelines for data accessibility.
• Collaborate with Analytics and Business Operations teams.
• Ensure high-quality data availability and performance.
• Mentor team members and promote growth.
• Integrate new data management technologies.
• Translate requirements into data architecture and pipelines.
• Develop custom software components in Python and SQL.
• Optimize data warehouse performance.
• Communicate data-related issues and solutions to leadership.

Requirements

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience in Data Engineering.
• 3+ years of experience in stakeholder requirement gathering.
• Proficiency in Python, SQL, and analytics engineering.
• Experience with Snowflake, AWS, and data pipeline tools.
• Strong interpersonal and negotiation skills.
• Self-starter with the ability to multi-task.

Benefits

• Flexible hybrid work environment.
• Generous PTO policy with a minimum of three weeks off.
• Free therapy coverage for employees.
• Comprehensive medical, dental, and vision coverage.
• 401K retirement plan with matching.
• Paid parental leave and company holidays.
• Travel to Denver for annual gatherings.