Bestow · 5 hours ago
Staff Data Engineer
United States
Full-time
Remote
Lead/Staff
10+ years expBestow is a leading vertical technology platform focused on modernizing the life insurance industry. As a Staff Data Engineer, you will serve as a technical leader, driving the vision for data infrastructure and mentoring engineers while collaborating with various teams to enhance data architecture and implement innovative solutions.
Developer APIsFinTechInsuranceInsurTechLife Insurance
Responsibilities
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, GraphQL, 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 deployment, monitoring, and governance at scale
Architect and oversee Generative AI infrastructure, enabling rapid prototyping while ensuring enterprise-grade security, compliance, and cost management
Partner with Data Science leadership to translate research initiatives into production-ready solutions
Drive innovation in AI/ML tooling and infrastructure, staying ahead of industry trends
Mentor and guide Data Engineers at all levels, conducting design reviews and providing technical feedback
Establish engineering standards, documentation practices, and knowledge-sharing processes
Participate in hiring and onboarding processes, helping to build a world-class data engineering team
Foster a culture of engineering excellence, experimentation, and continuous improvement
Partner with product, engineering, and business leaders to align data strategy with organizational goals
Making decisions as a team. The things you build will be maintained and improved upon by others; there is a shared responsibility to make defensible design considerations and high collaboration
Communicate complex technical concepts to non-technical stakeholders, building alignment and driving informed decision-making
Represent data engineering in cross-functional planning and architecture forums
Build strong relationships with external partners and vendors
Qualification
Required
10+ years working in a data engineering role that supports incoming/outgoing feeds as well as analytics and data science teams
5+ years of advanced Airflow and Python experience writing production-grade, efficient, testable, and maintainable code
3+ years of experience designing, building, and maintaining production APIs (REST, GraphQL, gRPC) for data access and integration, including API gateway management, rate limiting, authentication/authorization, and versioning strategies
3+ years leading ML/MLOps initiatives, including model deployment, monitoring, and governance at scale
3+ years of hands-on experience with Google Cloud Platform (GCP) including Cloud Run, Cloud Functions, Vertex AI, Cloud Storage, IAM, and other core services
Deep expertise with columnar databases (BigQuery, Snowflake, Redshift) and advanced SQL optimization techniques
Demonstrated experience with AI Coding assistants – AI tools are heavily engrained in Bestow culture
Proven track record designing an end-to-end data pipeline in cloud frameworks (such as GCP, AWS, Azure) with requirements from multiple stakeholders
Experience with upstream data coordination through data contracts
Experience building CICD pipelines for data processing using tools such as Docker, CircleCI, dbt, git, etc
Extensive experience with infrastructure as code (Terraform, Pulumi) and GitOps practices
Expert level knowledge of data orchestration frameworks such as Apache Airflow (or similar) to manage SLOs and processing dependencies
Experience in building streaming / real-time ingestion pipelines
Experience with creating alerts and monitoring pipelines which contribute to overall data governance
Experience with containerization and container orchestration technologies with cloud architecture and implementation features (single- and multi-tenancy, orchestration, elastic scalability)
Deep understanding of standard IT security practices such as identity and access management (IAM), data protection, encryption, certificate, and key management
Adaptability to learn new technologies and products as the job demands
Proven ability to mentor engineers and lead technical initiatives across teams
Preferred
Familiarity with building tools that draw upon Generative AI (GenAI) integrations (Enterprise-grade, not simply vibe-coded)
Benefits
Competitive salary and equity based on role
Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs
100% paid-premium option for medical, dental, and vision insurance
Lifestyle stipend to support your physical, emotional, and financial wellbeing
Flexible work-from-home policy and open to remote
Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting
Employee-led diversity, equity, and inclusion initiatives
Company
Bestow
Bestow is a life insurance SaaS company that utilizes advanced technology and data solutions for the insurance sector.
51-200 employees
Funding
Current Stage
Late StageTotal Funding
$302.5MKey Investors
TriplePoint CapitalHedosophiaValar Ventures
2025-05-13Series D· $70M
2025-05-13Secondary Market· $45M
2025-05-13Debt Financing· $50M
Leadership Team
Melbourne O'Banion
Co-Founder and CEO
Jonathan Abelmann
President & Co-Founder
Recent News
2025-12-04
FinTech Global
2025-12-04
Company data provided by crunchbase