Data Engineer II

Verisk; Jersey City (NJ); Híbrido; USD 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Retirement Plan

Disability benefits

Paid Time Off program

Resumo da oferta

Verisk Claims Solutions is seeking a junior-to-mid level Data/DataOps Engineer II in a hybrid Jersey City, NJ setting. You will design cloud-based pipelines, model data for BI reporting, and implement CI/CD for data products while ensuring governance and security standards.

You will collaborate with product owners and the data team to refine requirements, build scalable solutions, and automate workflows across data sources and API integrations.

Qualificações

• BS or MS in CS/IT or related field.
• 2+ years designing cloud data pipelines (ETL/ELT).
• 2+ years data warehousing experience.
• Proficient in SQL for data transformation.
• Experience using Python for automation and APIs.
• Knowledge of dimensional modeling for BI.
• Experience with cloud data warehouses (Snowflake or equivalent).
• Familiar with CI/CD, IaC, and DevOps practices.
• Experience with access management and governance on data platforms.
• Ability to learn new technologies quickly.

Responsabilidades

• Design and develop cloud-based data pipelines using serverless/container services and cloud warehouses.
• Build dimensional/Kimball data models for BI reporting.
• Create CI/CD pipelines and deployment automation for pipelines and infra.
• Support access provisioning, RBAC, and governance controls.
• Build and consume REST APIs and integrate with gateways for automation.
• Collaborate with product owners to refine features and design pipelines.
• Follow logging, monitoring, alerting, and incident response best practices.
• Ensure compliance with Verisk data security policies.
• Contribute to problem-solving and code reviews; share best practices.
• Develop solutions addressing internal and external customer needs.
• Communicate complex concepts to non-technical stakeholders.

Conhecimentos

Cloud data pipelines

SQL

Python

Data modeling

Dimensional/Kimball

CI/CD

Git

REST APIs

DevOps

Data warehousing

Formação académica

BS or MS in Computer Science/Info Tech or related field

Ferramentas

Snowflake

SqlDBM

API gateways

Descrição da oferta de emprego

Verisk Claims Solutions is hiring a junior-to-mid level Data/DataOps Engineer II to develop, deploy, and run data pipelines and reporting data products. This hybrid role in Jersey City, NJ focuses on cloud-based pipeline development, data modeling, CI/CD and DevOps, access governance, integrations, and operational best practices.

What You’ll Do

• Design and develop cloud-based data pipelines using serverless and container services (managed functions, batch compute, container orchestration, and workflow or orchestration frameworks) alongside cloud data warehousing platforms.
• Design, review, and build dimensional and Kimball-style data models for data products and business intelligence reporting systems.
• Create and maintain CI/CD pipelines and deployment automation for data pipelines and infrastructure using version-controlled, repeatable release practices.
• Support access provisioning and lifecycle management, including role-based permissions and audit or compliance controls aligned with security and governance standards.
• Build and consume REST APIs and integrate with web services or gateways to enable automation within pipelines and platforms.
• Partner with product owners to understand and refine feature requests, and work with the data engineering team to design, review, and develop new pipelines.
• Follow standard practices for logging, monitoring, alerting, incident response, and data security.
• Understand Verisk data security policies and controls, then design and implement approaches to comply.
• Contribute to technical problem-solving, help define best practices, and participate in design and code reviews.
• Develop solutions that address growing internal and external customer needs.
• Communicate technical concepts in a way product owners and non-technical stakeholders can understand.

Required Qualifications

• BS or MS in Computer Science, Information Technology, or a related field.
• 2+ years of experience designing and developing cloud data pipelines (ETL/ELT solutions).
• 2+ years of data warehousing experience.
• Proficiency writing SQL to aggregate and transform data as part of a data pipeline.
• Experience using Python for process automation, working with APIs, and/or transforming data.
• Working knowledge of dimensional or data modeling methods used to support business intelligence tools.
• Experience building data pipelines using a range of data sources including RDBMs, NoSQL, REST APIs, message queues, and files.
• Experience with a cloud data warehouse platform (for example, Snowflake or equivalent).
• Working knowledge of cloud serverless and 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, infrastructure-as-code, and automated deployments.
• Experience with access management, security, and governance or audit operations on a data platform.
• Curious, inquisitive mindset with the ability to learn new technologies quickly and troubleshoot ambiguous issues.
• Working knowledge of development standards and best practices, with the ability to follow established design patterns.
• Proficiency with version control systems (Git).
• Proficiency with database modeling tools (for example, SqlDBM).

Preferred Qualifications

• Experience with REST APIs, API gateways, or other web application or integration technologies.
• Experience working with tokenized PII.
• Insurance industry experience.

Tools and Technologies

• SQL, Python, Git
• Snowflake
• REST APIs, API gateways
• RDBMs, NoSQL, message queues
• Cloud serverless and container technologies, including functions-as-a-service, managed batch compute, container orchestration
• Workflow and orchestration frameworks
• CI/CD pipelines, infrastructure-as-code
• Dimensional and Kimball-style data models
• SqlDBM

Benefits

• Health Insurance
• Retirement Plan
• Disability benefits
• Paid Time Off program