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Verisk | Verisk

Data Engineer II

Jersey City, NJ, United States
Lehi, UT, United States

Apply on fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com About employer

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Job details

Posting language: English
Posted: Nov 11, 2026

Original job description

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.

•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.

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.

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property and Restoration Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.

Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability or any other characteristics protected by applicable law. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Verisk Employee Privacy Notice

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More about this job

Skills

Reporting
CI/CD
Workflow
Data warehousing
Data models
Business intelligence
DevOps
Regulatory compliance
API development
Data engineering
Communication skills
Incident response
Apply information security policies
Computer science
Computer technology
SQL
Python
Data modelling
NoSQL
Data warehouse
Snowflake
Infrastructure as code
Troubleshoot
Control systems
Coaching
Underwriting
Estimating
Mentor individuals

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Work requirements

Jobs in the United States