Role overview
We’re adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that.
The Company
As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive – from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products.
Job Overview:
We are seeking a highly skilled Senior Data Engineer – Databricks Platform (ML & Feature Engineering Focus) with a strong software engineering background to join our AI/ML Engineering GSI IT Team. In this role, you will be focused on building a Databricks-based data platform that powers machine learning and advanced analytics. This role is ideal for someone who thrives at the intersection of data engineering, ML infrastructure, and software development, and is passionate about enabling scalable, production-grade feature engineering pipelines.
What you'll work on
- Build and optimize databricks ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources.
- Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets.
- Implement CI/CD pipelines, testing frameworks, and observability for data workflows.
- Develop feature stores, metadata tracking, and lineage tools to support data Ops.
- Ensure data quality, governance, and compliance across all data assets.
- Optimize performance and cost-efficiency of Databricks clusters and jobs for data workloads.
- Contribute to the architecture and design of the data platform and feature engineering framework.
What we're looking for
- Advanced Degree: Master’s degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience.
- Experience with Big Data: Strong proficiency with big data technologies such as Azure Databricks and Spark.
- Leadership Experience: Previous experience leading a team of data scientists or engineers.