Lead Data Engineer - Remote

Overview

As the Lead Data Engineer, you will report to the Engineer Manager (Data Services) and continuously collaborate closely with key stakeholders across the business to solve critical technical challenges.

In Short

• Take ownership for achieving objectives and key results for your team.
• Oversee & own technical solutions, communicate schedule, status, and milestones.
• Collaborate with cross-functional partners to build data products.
• Develop, optimize, and maintain complex ETL processes for data movement and transformation.
• Review code and provide technical guidance to ensure adherence to high-quality standards.
• Develop APIs and microservices to expose and integrate data products.
• Implement monitoring, logging, and alerting systems.
• Ensure data quality, security, and compliance with relevant regulations.
• Stay current with industry trends and foster a culture of continuous learning.

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• 7+ years of experience as a Data Engineer or Software Engineer.
• Strong programming skills in Python.
• Knowledge of relational and dimensional data modeling.
• Experience with data quality checks and monitoring solutions.
• Experience orchestrating workflows using Airflow or similar tools.
• Proficiency with Git, CI/CD pipelines, Docker, and Kubernetes.
• Experience architecting solutions on AWS or equivalent cloud platforms.
• Strong interpersonal and verbal communication skills.
• Proven leadership experience with the ability to mentor a team.

Benefits

• Comprehensive package of benefits including paid time off.
• Medical/dental/vision insurance.
• 401(k) for eligible employees.
• Participation in short-term and long-term incentive programs.