Data Engineer

About Parsyl

Parsyl is an insurer of complex supply chain risks that uses enhanced data and technology to better understand, price and mitigate risk. Parsyl offers its customers more tailored underwriting, a better claims experience and insights-based risk management that reduces waste and saves money.

Parsyl operates in the US and London insurance markets through a Managing General Underwriter (MGU) and its own managed syndicate at Lloyd’s of London, which it utilizes to lead one of the largest marine cargo consortia in the London market. Parsyl has more than 20 different providers of third party capacity across its operations including delegated underwriting, consortia, reinsurance and Funds at Lloyd’s capacity providers.

Parsyl has experienced significant growth in the last 24 months through its focus on insuring underserved food, beverage and pharmaceutical commodities in the marine cargo space. Parsyl blends new data sources and modern technology with traditional underwriting expertise to help clients build more resilient and adaptable supply chains. Parsyl offers a full suite of A-rated cargo insurance solutions, including Cargo and Stock Throughput, Shipper’s Interest, Cargo Legal Liability and Warehouse Legal Liability.

Parsyl is based in Denver, CO, New York, NY and London, England.

As a Staff Data Platform Engineer, you will architect and evolve the data platform that enables our organization to deliver reliable, data-driven insurance products and operations. You will define the technical standards and integration patterns that upstream systems follow, establish our data governance framework, and build the foundation for teams across the company to work confidently with data.

In this role, you will blend your time between individual contributions and leadership with an emphasis on technical leadership that will shape how data flows through our organization—from underwriting through policy administration and claims processing systems into analytics, reporting, and machine learning workloads. You will partner closely with engineering, data science, product and business teams to translate their needs into scalable platform capabilities.

• Data Platform Architecture & Strategy - Design and own the evolution of our data platform, defining the technical foundation that enables reliable data integration, quality enforcement, and self‑service capabilities.
• Data Governance Program Design - Shape the structure and technical implementation of our data governance program, establishing the frameworks that ensure upstream teams produce trustworthy, well‑managed data, including facilitating cross‑team alignment on data ownership and stewardship for shared entities.
• Tooling Evaluation & Strategy - Research, evaluate, and recommend SaaS and open‑source solutions that support the operation of the data platform and data governance program. Own the selection and implementation process to ensure tools integrate seamlessly with our platform and workflows.
• Technical Mentorship & Collaboration - Provide architectural guidance and technical mentorship to data engineers while partnering with software engineering teams to understand their workflows and constraints. Educate engineers on data platform considerations and integrate their needs into platform design. Foster a culture of engineering excellence, knowledge sharing, and continuous improvement across the organization.
• Cross‑Functional Partnership - Work closely with data engineering, data science/modeling, analytics, and product teams to ensure the platform serves diverse use cases—from operational reporting to advanced analytics and ML workloads.

Parsyl is committed to cultivating a diverse pool of candidates interested in joining a mission‑driven company. We are building an inclusive team at Parsyl that welcomes different perspectives and creative ideas in order to best achieve our mission.

• 8+ years of data engineering experience
• Strong proficiency in Python, SQL, Terraform and Go
• Experience serving in an architect role for complex data systems
• Deep understanding of data architecture…