Verisk is seeking a Level 2 Data Developer to contribute to the design, development, and operation of data pipelines and data services that support next‑generation products for the life and annuity insurance market. At this level, you are a developing individual contributor who can deliver well‑defined data solutions with guidance, collaborate effectively with Product Owners, and senior engineers, and continue to build strong foundations in data engineering best practices. You are gaining experience working in production systems and supporting data pipelines, datasets, and operational processes. This role is office-based from either our Holmdel, NJ location or our Jersey City, NJ global headquarters, which both have a flexible hybrid work model.

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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 Estimating 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. 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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Verisk is seeking a Level 2 Data Developer to contribute to the design, development, and operation of data pipelines and data services that support next generation products for the life and annuity insurance market.

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Experience

• 2–4 years of experience as a Data Developer, Data Engineer, or Software Engineer with a data focus.

• Experience developing or supporting production data pipelines.

• Experience working in Agile, product‑oriented teams.

Technical Skills

• Proficiency in SQL, including joins, aggregations, and moderately complex transformations.

• Experience with at least one data‑oriented programming language (e.g., Python, .Net).

• Familiarity with ETL/ELT frameworks and modern data architectures.

• Exposure to building or consuming APIs and data services

• Basic understanding of data modeling concepts and trade‑offs.

Data & Platform Knowledge

• Experience working with cloud‑based data platforms, data lakes, or data warehouses e.g., (BigQuery, Amazon Redshift, Snowflake, Databricks).

• Familiarity with version control and basic CI/CD concepts.

• Awareness of analytics and machine learning data needs (e.g., data consistency and freshness).

Preferred Qualifications

• Exposure to insurance or financial services data, especially life and annuity domains.

• Experience supporting

• Familiarity with data governance or metadata concepts.

• Exposure to data visualization or BI tools – Sigma, Tableau, PowerBI, ThoughtSpot

Level Expectations (L2)

At this level, you are expected to:

• Deliver well‑defined data pipelines or components with guidance.

• Apply established patterns, tools, and standards effectively.

• Grow technical depth in SQL, data modeling, and data pipeline development.

• Balance development speed with code quality and reliability.

• Be a collaborative and dependable team member while continuing to develop independence.

Why Join Us?

This role offers the opportunity to grow as a data engineer while contributing to data‑driven products for the life insurance industry within a mature, data‑first organization. You’ll gain hands‑on experience with real production data, learn from experienced engineers, and build a strong foundation for progression into senior and lead data roles.

#LI-LM03
#LI-Hybrid

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Data Engineering & Development

• Develop and maintain data pipelines using cloud‑native data platforms and services (e.g., AWS‑based architectures, Snowflake, Databricks) following established patterns and team standards.

• Write SQL transformations and data models that support analytics, reporting, and downstream applications.

• Implement data ingestion, transformation, and enrichment logic from multiple data sources with guidance.

• Contribute to building and supporting data APIs or data services that expose curated datasets.

• Participate in technical design discussions and implement solutions under the direction of senior team members.

• Contribute to the design and implementation of OLAP-friendly datasets (e.g., dimensional models, star/snowflake schemas) to support analytics and reporting.

• Assist in building and maintaining curated analytical layers / data marts optimized for BI and downstream consumption.

Data Quality, Reliability & Operations

• Support data quality for assigned pipelines, including validation, reconciliation, and monitoring activities.

• Assist in identifying performance, scalability, and reliability issues and contribute to fixes.

• Troubleshoot and resolve production data issues with guidance and escalation when needed.

• Contribute to operational readiness through logging, alerting, and documentation.

Collaboration & Agile Delivery

• Work closely with Product Owners and team members to understand requirements and acceptance criteria.

• Translate user stories into technical tasks and implementation steps with support.

• Collaborate with to productionize features, datasets, and model inputs.

• Actively participate in sprint planning, estimation, standups, and retrospectives.

Security, Compliance & Governance

• Follow established data governance, privacy, and regulatory standards in all data solutions.

• Handle sensitive insurance data according to compliance guidelines and best practices.

• Contribute to documentation related to data access, lineage, and standards.