Data Engineer

ABOUT BESTOW

Life insurance is one of the world's most important products. It's also one of the hardest to build, distribute, and modernize. Bestow exists to change that.

Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation.

Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise.

Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart. If you want to help reimagine a centuries-old industry with lasting impact, join us.

Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities.

Bestow participates in the E-Verify Program.

The Bestow Data Engineering team plays a significant role within the organization, working across the entire company to provide scalable data solutions within the platform and toward integrations with external partners. The data engineering team works closely with internal analytics and data science team members in order to improve data architecture, rapidly prototype, and serve data science predictions. In addition, data engineers work closely with stakeholders, members from product, and engineering to design and launch new systems for extracting, transforming and storing data.

You’ll be called upon to improve Bestow’s data reliability, efficiency and quality and will be expected to scale your solutions to the cloud environment of a SaaS company, iterate quickly, and make pragmatic choices around what tools and technologies to adopt.

As a Staff Data Engineer, you will serve as a technical leader and strategic advisor for Bestow's data infrastructure and architecture. You will drive the long‑term vision for our data platform while mentoring engineers and influencing technical decisions across the organization.

• Define and drive the technical roadmap for data infrastructure, establishing architectural patterns and standards that scale across the organization
• Lead the design and implementation of complex, multi‑system data architectures that support business‑critical operations and enable innovation (data ingestion + export and delivery)
• Evaluate and champion adoption of emerging technologies and best practices in data engineering, MLOps, and GenAI
• Establish data governance frameworks, quality standards, and operational excellence practices across all data workloads
• Drive cross‑functional initiatives that require coordination between data, product, engineering, and business teams

• Architect enterprise‑scale data solutions for transferring data from first and third‑party applications to and from our data warehouse
• Design and oversee the development of robust, scalable APIs (REST, Graph
  
  QL, gRPC) that enable data access for internal teams and external partners
• Lead the evolution of event‑driven and API‑first data architectures that support real‑time data sharing and integration
• Leverage Google Cloud (GCP) tools (Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (Astronomer – Apache Airflow) to architect and bring enterprise data workloads to production
• Design resilient, self‑healing data systems with comprehensive monitoring, alerting, and automated remediation – and participating as part of an on‑call rotation.
• Lead the evolution of our data platform on Google Cloud (GCP), leveraging advanced services and optimizing for cost, performance, and reliability
• Define patterns for streaming and batch data architectures that serve diverse use cases
• Establish best practices for data contracts, API versioning, CI/CD, documentation, and partner integrations

• Lead MLOps strategy and implementation, establishing patterns for model…