remote
Lead Analytics Engineer, AI Enablement - Symetra
Data Engineer
Lead the design and delivery of AI‑powered analytics platforms, driving end‑to‑end data pipelines, model deployment, and cross‑functional collaboration to accelerate AI adoption across the organization.
About the role
Key Responsibilities
- Architect and build scalable data pipelines and ML workflows using Python, SQL, Spark, and Airflow on AWS.
- Lead the development and production deployment of AI‑powered applications such as docstream, ensuring reliability, performance, and security.
- Collaborate with product, engineering, and data science teams to define requirements, data models, and success metrics.
- Mentor and guide a small, cross‑functional team, fostering best practices in code quality, testing, and documentation.
- Continuously iterate on platform features, tooling, and patterns to enable rapid AI integration across the organization.
Requirements
- 5+ years of experience in data engineering or analytics engineering, with a strong focus on AI/ML pipelines.
- Proficiency in Python, SQL, and experience with Spark or similar big‑data frameworks.
- Hands‑on experience deploying models and data pipelines on AWS (S3, Redshift, SageMaker, EMR).
- Solid understanding of ML concepts, model versioning, and monitoring.
- Excellent communication skills and a proven ability to lead and mentor technical teams.
Skills
pythonsqlawsmachine learningapache spark