Senior Data Engineer

We are looking for a Senior Data Engineer to play a key senior technical role on our Data Engineering team, helping optimize and scale our existing large-scale data platform. This is a hands-on engineering role with a strong technical leadership component. You will design and build data pipelines and platform improvements while setting a strong technical example, reviewing the work of other engineers, and serving as a go-to resource for complex architecture and data engineering challenges.

Reporting directly to the Director, Data Engineering, you will work alongside a small, focused team to build reliable, scalable data products and maintain a high-performing platform that supports evolving analytics and AI/ML needs. This role is well suited to an experienced data engineer seeking significant hands-on ownership, along with opportunities to mentor others and influence technical practices across the team.

Technical Knowledge and Understanding:

• Deep expertise in data pipeline design, optimization, and distributed data processing architectures with experience identifying and resolving performance and scalability bottlenecks

• Strong knowledge of cloud data platforms (AWS, Azure, or GCP) and modern data warehouse/Lakehouse architectures (Delta Lake, Iceberg)

• Strong working proficiency with at least two programming languages (Python, Scala, SQL)

• Solid understanding of data governance, security, and compliance practices in a regulated or enterprise environment

• Ability to troubleshoot and reverse engineer existing codebases and data pipeline

• Working knowledge of how data platforms enable AI/ML solutions

Experience:

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.

• Bachelor's degree in related field or demonstrated equivalent experience in a related field required.

• 7+ years of experience in data engineering, with experience working on large-scale, mature data platforms.

• Demonstrated experience taking technical ownership of complex projects from design through delivery.

• Experience contributing to data platforms that support downstream AI/ML use cases (e.g., feature stores, curated/governed datasets, streaming access for model training and inference).

• Experience with IAC and CI/CD practices for data systems (i.e. Terraform, GitHub Actions)

• Strong experience writing code modular code with notebooks

• Platforms: Hands on experience with Snowflake or Databricks, Azure Synapse Analytics/MS Fabric

• Experience mentoring or informally guiding other engineers, even without formal people management responsibility.

• Experience optimizing the developer experience

• Experience designing or implementing Agentic workflows for data engineering preferred

• Experience working with Property & Casualty insurance carriers preferred

• Experience with Data Vault 2.0 or Ensemble data modeling techniques preferred