Data Engineering Lead

Summary

Join SonderMind's Applied Science team as a hybrid Data Engineering and Data Science Technical Manager and Senior Contributor. You will design, build, and manage data ETL pipelines, ensuring timely and clean production data for Analytics and Business Operations teams. As a senior contributor, you will set coding standards and collaborate with other engineers and analysts. This role reports to the Head of Applied Science and involves overseeing a team of data engineers. Success is measured by the cost, performance, accessibility, and usability of the production data, enabling data-driven decision-making. The role requires significant experience in data engineering, strong technical skills, and excellent collaboration abilities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum five (5) years experience as a Data Engineer (or similar role) deploying version controlled production code in a team environment
• Minimum three (3) years experience gathering stakeholder requirements and translating them to development plans
• Proficiency with with analytics engineering principles and processes
• Proficiency with scripting and programming languages (Python, Java, Scala, etc.)
• In-depth knowledge of SQL and other database related technologies such as NoSQL
• Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc
• Experience with AWS cloud services (S3, RDS, Redshift, etc.)
• Experience with data pipeline and workflow management tools such as Airflow
• Strong negotiation and interpersonal skills: written, verbal, analytical
• Motivated and influential – proactive with the ability to adhere to deadlines in a fast-paced environment
• Self-starter with the ability to multi-task

Responsibilities

• Design, construct, install, test, and maintain highly scalable data systems that include distributed databases, data warehouses, cloud storage, etc
• Develop and maintain databases, data processing procedures, and pipelines, with accountability for the availability of timely and clean production data
• Champion partnership and collaboration with analytics, marketing, and business operations
• Ensure timely and strategically aligned decisions and execution for data engineering relating to source data ETL and analytics
• Oversee a team of data engineers, providing mentorship and opportunities for growth
• Ensure the enablement of analytics and product experimentation plans as part of the product development lifecycle
• Identify and integrate new data management technologies and software engineering tools into existing structures to improve cost and performance
• Translate complex functional and technical requirements into detailed architecture, design, and high-performing data pipelines
• Create custom software components and analytics applications in Python and SQL, with Snowflake as the primary underlying data warehouse
• Troubleshoot data-related issues, perform root cause analysis to resolve them, and communicate changes to leadership
• Optimize and ensure end-to-end data warehouse performance

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or a related field
• Experience and familiarity with HIPAA and ISO security requirements
• Experience with data science principles is a plus
• Previous people management experience
• Knowledge of Docker and Kubernetes to manage data applications
• Experience with AI/ML in GenAI or data software - including vector databases - is a plus

Benefits

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!