Lead Data Engineer

📋 Description

• Design, develop, and maintain scalable data pipelines to ingest and deliver data.
• Write efficient SQL and Python for data ingestion, transformation, and integration.
• Optimize data workflows for performance, security, and cost in cloud environments.
• Collaborate with data scientists, analysts, and stakeholders to define data needs.
• Implement data governance and security across pipelines and data assets.
• Monitor data flows, troubleshoot issues, and ensure data quality and availability.

🎯 Requirements

• Bachelor’s degree in CS/Engineering or equivalent.
• 12–14+ years in data roles, with 8+ years in data engineering.
• Advanced proficiency in SQL and Python for data processing.
• Hands-on experience building and optimizing data pipelines and integration workflows.
• Strong understanding of data modeling, performance optimization, and query tuning.
• Experience with cloud platforms and their data ecosystem.

🎁 Benefits

• Salary: $135,000-$160,000/year plus annual bonus.
• 25% Discounted Rent at AIR Communities.
• Medical, dental, vision, life insurance; HSA with company contributions; FSA.
• 401(k) with company contributions.
• Paid vacation, holidays, and sick time; up to 16 weeks parental leave.
• Tuition assistance and professional development opportunities.