Lead Data Engineer

Role Summary

Lead Data Engineer responsible for leading a portfolio of data engineering projects, designing resilient data analytics systems, and mentoring a team of engineers. Collaborates with business analysts, product managers, and data scientists to optimize data infrastructure and incorporate ML models for intelligent insights. May telecommute.

Responsibilities

• Lead portfolio of data engineering projects on multi-functional teams involving business analysts, product managers, and data scientists.
• Define architecture and design resilient data analytics systems, processing large volumes of data in both batch and real time mode.
• Drive adoption of modern data engineering principles, patterns, and best practices to improve velocity, quality, reliability, and maintainability of products.
• Provide technical leadership by coaching and mentoring a team of engineers through code reviews, pair programming, and other means.
• Work with data scientists to incorporate ML models in the data analytics platform to derive intelligent insights.
• Optimize existing data infrastructure, code & data pipelines to reduce cost, increase efficiency, and improve scalability.

Qualifications

• Required: Bachelor's degree in Computer Science, Engineering, or related field and 5 years of experience in the job offered or in a Lead Data Engineer-related occupation.

Education

• Bachelor's degree in Computer Science, Engineering, or related field

Additional Requirements

• May telecommute.