Verisk

Builds data and risk software for insurers

Data Engineer 2

Data EngineeringPosted on Nov 11

Full-time$90k - $102k

About the Job

Requirements

A Bachelor of Science or Master of Science degree in Computer Science, Information Technology, or a related field is required.
At least 2 years of experience designing and developing cloud data pipelines using ETL/ELT solutions is required.
At least 2 years of data warehousing experience is required.
Proficiency in writing SQL to aggregate and transform data as part of a data pipeline is required.
Experience using Python to automate processes, work with APIs, or transform data is required.
Working knowledge of dimensional and data modeling methods used to support business intelligence tools is required.
Experience building data pipelines using varied data sources, including relational database management systems, NoSQL, REST APIs, message queues, and files is required.
Experience working with a cloud data warehouse platform such as Snowflake or equivalent is required.
Experience with cloud serverless or container technologies, such as functions-as-a-service, managed batch compute, or container orchestration, and workflow orchestration frameworks is required.
Working knowledge of DevOps fundamentals and CI/CD practices, including build and release pipelines, infrastructure-as-code, and automated deployments, is required.
Experience with access management, security, and governance or audit operations on a data platform is required.
Working knowledge of development standards and best practices, including the ability to follow established design patterns, is required.
Proficiency with version control systems such as Git is required.
Proficiency with database modeling tools such as SqlDBM is required.
The ability to troubleshoot ambiguous issues and learn new technologies is required.
The ability to communicate technical ideas to product owners and non-technical users is required.

Responsibilities

Design and develop data pipelines using cloud serverless or container services, including managed functions, batch compute, container orchestration, and workflow orchestration frameworks, in conjunction with cloud data warehousing platforms.
Design, review, and build dimensional or Kimball-style data models for data products and business intelligence reporting systems.
Build and maintain CI/CD pipelines and deployment automation for data pipelines and infrastructure, following version-controlled and repeatable release practices.
Support access provisioning and lifecycle management, role-based permissions, and audit or compliance controls across data platforms in line with security and governance standards.
Build and consume REST APIs and integrate with web services or gateways as part of pipeline or platform automation.
Work with product owners to understand and refine feature requests, and work with the data engineering team to design, review, and develop data pipelines.
Follow standard practices for logging, monitoring, alerting, incident response, and data security.
Understand and comply with Verisk data security policies and controls by designing and implementing appropriate measures.
Collaborate with product owners, tackle technical problems, help define best practices, and contribute to design and code reviews.
Create solutions to meet the needs of internal and external customers.

Desired Qualifications

Experience with REST APIs, API gateways, or other web application and integration technologies is a plus.
Experience working with tokenized personally identifiable information is a plus.
Insurance industry experience is a plus.

The Data/DataOps Engineer II is a junior-to-mid level position that will provide data pipeline, orchestration, and platform operations expertise to guide the development, deployment, and reliable operation of data products and reporting solutions within the Verisk Claims Solutions division. The successful candidate has experience developing data pipelines using cloud services, designing data structures that support data products and reporting systems, and applying DevOps/CI-CD practices to keep those systems secure, observable, and repeatable to operate. In this hands-on role, he/she will be responsible for collaborating with product owners, tackling technical problems, helping define best practices, and contributing in design/code reviews. In addition, the candidate will help create innovative solutions to satisfy the growing needs of internal and external customers.

About You and How You Can Excel in This Role

• BS or MS degree in Computer Science, Information Technology, or related field.

• 2+ years of experience designing and developing cloud data pipelines (ETL/ELT solutions).

• 2+ years of Data Warehousing experience.

• Proficient in writing SQL for aggregating and transforming data as part of a data pipeline.

• Experience using Python for automating processes, working with APIs, and/or transforming data.

• Working knowledge of dimensional/data modeling methods used to support business intelligence tools.

• Experience building data pipelines using a variety of data sources (RDBMs, NoSQL, REST APIs, message queues, and files).

• Experience working with a cloud data warehouse platform (e.g., Snowflake or equivalent).

• Experience with cloud serverless/container technologies (e.g., functions-as-a-service, managed batch compute, container orchestration) and workflow orchestration frameworks.

• Working knowledge of DevOps fundamentals and CI/CD practices (build/release pipelines, infrastructure-as-code, automated deployments).

• Experience with access management, security, and governance/audit operations on a data platform.

• A curious, inquisitive mindset with the ability to learn new technologies quickly and troubleshoot through ambiguous issues.

• Working knowledge of development standards/best practices with the ability to follow established design patterns.

• Proficiency with version control systems (GIT)

• Proficiency with database modeling tools (SqlDBM, etc.)

• Experience with REST APIs, API gateways, or other web application/integration technologies is a plus.

• Experience working with tokenized PII is a plus.

• Insurance industry experience is a plus.

#LI-LM03
#LI-Hybrid

•Pipeline Development - Design and develop data pipelines using cloud serverless/container services (e.g., managed functions, batch compute, container orchestration, and workflow/orchestration frameworks) in conjunction with cloud data warehousing platforms.

•Data Table Design – Design, review, and build dimensional/Kimball style data models for data products and business intelligence reporting systems.

•Platform Operations & DevOps – Build and maintain CI/CD pipelines and deployment automation for data pipelines and infrastructure, following version-controlled, repeatable release practices.

•Access & Governance Operations – Support access provisioning/lifecycle management, role-based permissions, and audit/compliance controls across data platforms in line with security and governance standards.

•Integration – Build and consume REST APIs and integrate with web services/gateways as part of pipeline or platform automation.

•Collaboration – Work closely with product owners to understand and refine new feature requests. Work closely with data engineering team to design, review, and develop new data pipelines.

•Communication - Ability to communicate technical ideas in terms product owners and non-technical users can understand.

•Best Practice - Ensure standard practices are followed for logging, monitoring, alerting, incident response, and data security.

•Data Security – Understand Verisk data security policies and controls and design and implement ways to comply with the policies.

Budgeted Salary Currency: USD

Minimum Salary: 90,000

Maximum Salary: 102,000

About the Company

Verisk

Builds data and risk software for insurers

Verisk sells data, analytics, and software to insurers, reinsurers, and insurance intermediaries that assess risk and settle claims. Its tools support insurance pricing and policy development, catastrophe modeling, and claims investigation, combining industry records with scientific models and specialized applications. Xactimate calculates property repair estimates, while other platforms compare claims to identify suspected fraud and model losses from natural disasters. Customers pay through hosted subscriptions, transaction fees, and advisory services, with software and data integrated into their underwriting and claims workflows. Verisk traces its operating roots to 1971 and is headquartered in Jersey City, New Jersey.

Company size: 5,001-10,000
Company stage: IPO
Headquarters: Jersey City, NJ
Founded: 1971

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