Ignite Insurance Systems (Verisk Claims Solutions division) is building reliable data products and reporting solutions for internal and external customers. In this Data Engineer II role, you’ll design and operate cloud-based data pipelines, strengthen data platform governance and security, and help turn feature ideas into dependable data capabilities. The position is based in Jersey City, NJ (hybrid).
What you’ll focus on
- Design and develop cloud data pipelines using serverless and container-based services (managed functions, batch compute, container orchestration, and workflow/orchestration frameworks) alongside cloud data warehousing platforms.
- Build and review dimensional (Kimball-style) data models that support data products and business intelligence reporting.
- Create CI/CD pipelines and deployment automation for data pipelines and infrastructure, using version-controlled, repeatable releases.
- Support access provisioning and lifecycle management, role-based permissions, and audit/compliance controls across data platforms aligned to security and governance standards.
- Build and consume REST APIs and integrate with web services and gateways to enable pipeline and platform automation.
- Collaborate with product owners to understand and refine feature requests, and with the data engineering team to design and deliver new pipelines.
- Maintain operational excellence through logging, monitoring, alerting, and incident response, with a strong focus on data security.
- Understand Verisk data security policies and controls and implement approaches that comply with them.
- Apply established engineering practices in design/code reviews and contribute to best practices.
- Deliver solutions that address growing needs of both internal and external customers.
What you bring
- BS or MS degree in Computer Science, Information Technology, or a related field.
- 2+ years of experience designing and developing cloud data pipelines (ETL/ELT).
- 2+ years of data warehousing experience.
- Proficiency with writing SQL for aggregating and transforming data in a pipeline.
- Experience using Python for automation, working with APIs, and/or transforming data.
- Working knowledge of dimensional/data modeling methods that support business intelligence tools.
- Experience building pipelines using varied sources: RDBMs, NoSQL, REST APIs, message queues, and files.
- Experience with a cloud data warehouse platform (for example, Snowflake or equivalent).
- Experience with cloud serverless/container technologies (functions-as-a-service, managed batch compute, container orchestration) and workflow orchestration frameworks.
- Working knowledge of DevOps fundamentals and CI/CD practices, including build/release pipelines and infrastructure-as-code.
- Experience with access management, security, and governance/audit operations on a data platform.
- A curious, inquisitive mindset and the ability to learn new technologies quickly and troubleshoot ambiguous issues.
- Working knowledge of development standards and the ability to follow established design patterns.
- Proficiency with version control systems (GIT).
- Proficiency with database modeling tools (for example, SqlDBM).
- REST APIs / API gateways / web integration experience is a plus.
- Experience working with tokenized PII is a plus.
- Insurance industry experience is a plus.
Helpful technologies you’ll work with
Cloud serverless/container services, managed functions, batch compute, container orchestration, workflow/orchestration frameworks, cloud data warehousing platforms, dimensional (Kimball-style) data models, CI/CD pipelines, REST APIs, web services/gateways, SQL, Python, infrastructure-as-code, GIT, and database modeling tools (SqlDBM, etc.).