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