Sr. Data Engineer

  • Full-time
  • Salary - Max.: $115,000.00
  • Disclaimer: Annualized base pay may vary depending on geographic location, job-related knowledge, skills, and experience.
  • Salary - Min.: $85,000.00
  • Verisk Business: ISO
  • U.S. State: New Jersey

Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

Verisk Insurance Solutions is a leading source of information about property/casualty insurance risk. For a broad spectrum of commercial and personal lines of insurance, Verisk provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services. Verisk serves insurers, reinsurers, agents and brokers, insurance regulators, risk managers, and other participants in the property/casualty insurance marketplace. 

The Analytical Data Operations (ADO) team is responsible for managing the lifeblood of our position within the US P&C Insurance industry, our data. The Team ensures that our product teams have the data they need, when they need it, and with the trust in our systems and processes to ensure they have their hands on the pulse of the industry. Our team is a combination of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of the country’s largest database of P&C policy and claims information from data ingestion, data integration, data transformation, data analysis, to BI development.  

The ADO team is looking to hire an exceptional data analyst interested in a career as Data Engineer, ideally having a good combination of an analytical/innovative mindset, technical aptitude, business acumen, communication skills, and a passion for data and technology. For internal candidates, this position is open to grade level 14.  

This role entails blending insurance expertise, data analysis proficiency, and effective communication skills, with an emphasis on project management. We are looking for a candidate that can manage projects in multiple work-streams with an array of internal customers while at the same time support the development of modern data applications including database architecture, data pipelines, and data analysis. 

As an aspiring Data Engineer working with Insurance data, you will... 

  • Build and maintain robust data engineering processes to develop and implement self-serve data 
  • Support product implementation on a new and innovative technology platform with product requirements, actuarial calculations, methods, and validation 
  • Design, build, and launch efficient & reliable data pipelines to move data (both large and small amounts) in/out of our Snowflake Data Lake 
  • Assist internal stakeholders, including data modelers, with assumption development, product development, and implementation  
  • Execute data engineering projects ranging from small to large either individually or as part of a project team 
  • Perform other tasks on R&D, data governance, system infrastructure, and other cross team functions on an as-needed basis 
  • Adopt an agile framework to schedule work, adjust as needed, and continuously improve performance 
  • Work with data analysts to develop reports and visualizations 
  • Assist in scoping and designing analytic data assets 
  • Find opportunities to create, automate, and scale repeatable analyses or build self-service tools for business users 
  • You will be part of a culture that embraces learning and innovation, values teamwork, recognizes and rewards achievements and excellence, and provides personal and professional enrichment opportunities. 

Qualifications

  • Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics)  
  • Proficient in SQL, Database Architectures, Data Pipelines, and at least one scripting/analytics language (Python preferred) 
  • 3-4 years of Experience in an actuarial, data analysis, or data engineering role 
  • Experience in the property & casualty insurance industry preferred
  • Experience with a business intelligence tool (other than excel) and understanding of data visualization theory 
  • Homeowners and/or Dwelling experience is a plus
  • Excellent communication skills (both oral and written) are required, with a desire to improve presentation and persuasion skills 
  • A self-starter with a commitment to innovation and pro-active problem solving 
  • A sincere interest in transforming the insurance industry through data and analytics to improve people’s lives 

#LI-MC1 #LI-Hybrid

Additional Information

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, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, 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 and Best Employer for Women, 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

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

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

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.

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 disabilityVerisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

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

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