Data Engineering Lead

The Data Engineering Lead is responsible for designing and implementing modern, scalable data architectures to support migration of legacy, file-based analytical systems to AWS Cloud Native environments. This role leads the transformation of legacy SAS-based data storage models into structured, governed, and scalable data models optimized for cloud-native processing.

Requirements

• 8+ years of experience in data engineering or data architecture.
• Expert-level proficiency in Python for data engineering.
• Demonstrated experience transforming legacy file-based systems into cloud-native data architectures.
• Experience developing data models for high-volume, data-intensive applications.
• Deep experience with AWS data services (Glue, Lambda, S3, Aurora/Postgres, EventBridge, etc.).
• Experience designing scalable ETL/ELT pipelines.
• Experience building analytical dashboards (e.g., QuickSight or equivalent).
• Experience implementing automated data validation and quality controls.
• Experience working in Agile Scrum Teams.

Benefits

• 401(k) with matching and 100% Vested
• Health Insurance - 3 plans to select from
• Dental insurance
• Vision Insurance
• Health savings account
• Life insurance
• Short Term Disability
• Long Term Disability
• AD&D
• Paid time off
• Professional development assistance
• Training
• Tuition reimbursement
• Flexible schedule
• Flexible spending account
• Referral program
• Paid Legal Plan