Lead Data Engineer - Remote

Overview

We are seeking a skilled lead Data Ops Engineer with expertise in Data Ops or Data Engineering, SQL, system automation, and Python to join our team. Responsibilities include designing the proper data architecture, implementing automation, and be the mentor and leader for the Data & Analytics team.

In Short

• Lead Data Ops Engineer role focused on data architecture and automation.
• Remote work with optional office engagement in Deerfield.
• 8+ years of experience in Data Ops or Data Engineering required.
• 5+ years of SQL experience, preferably with Oracle or SQLServer.
• Intermediate expertise in Git and data pipeline development.
• Proficient in Python coding and best practices.
• Mentorship and leadership responsibilities for the Data & Analytics team.
• Involvement in modernizing systems and tech stack.
• Excellent communication skills for technical discussions.
• Competitive salary range of $135,000 - $165,000 per year.

Requirements

• 8+ years of experience in Data Ops or Data Engineering.
• 5+ years of hands-on SQL experience.
• Intermediate expertise in Git.
• Proficient in Python coding.
• Experience with monitoring and observability solutions is a bonus.
• Excellent communication skills.
• Ability to decompose complex technical challenges.
• Leadership and mentorship capabilities.
• Adaptability and attention to detail.
• Great sense of humor is a plus.

Benefits

• Comprehensive health plans.
• 401(k) program with company contribution.
• Flexible time off benefits.
• Inclusive fertility/adoption benefits.
• Employee Resource Groups for inclusivity.