Director, Data Engineering

  • Full-time
  • Salary - Max.: $170,000.00
  • Disclaimer: Annualized base pay may vary depending on geographic location, job-related knowledge, skills, and experience.
  • Salary - Min.: $135,000.00
  • Verisk Business: Verisk Analytics
  • 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

As the Data Engineering Director, you will lead a team of data engineers responsible for building efficient, maintainable production-grade data pipelines. This role can be based in our Jersey City, NJ location (hybrid work model) or remote.

  • This is a hands-on role with a small team, where you will have the opportunity to provide technical leadership and serve as the bridge between our Data and Product Engineering organizations
  • Lead and grow a small team of Data Engineers, including career and performance management
  • Partner with the Analytics Engineering team build and maintain the roadmap for our data stack and infrastructure
  • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation 
  • Be a champion of data privacy and quality

Qualifications

  • Bachelor’s Degree in Computer Science, Information Systems, or related field required. Advance Degree preferred
  • 10+ years of experience as data engineer, or other data-related role; at least 4 years of management experience
  • Minimum 2 years experience in the entity resolution space
  • Strong Python and SQL skills and knowledge of data modeling, ETL/ELT development principles, data warehousing concepts, and software engineering concepts
  • Minimum 5 years of experience with Amazon Web Services (AWS) – EC2, ECS, S3, SQS, RDS, Dynamo DB, Cloud Watch, IAM and Lambda.
  • Expertise with Gitlab and CI/CD pipelines
  • Experience managing a cloud data warehouse and a workload scheduling and orchestration framework
  • Strong ability to understand and document critical data through effective data collection, data analysis and data interpretation. 
  • A demonstrated self-starter with strong communication and project management skills

#LI-LM03
#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/

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.

https://www.verisk.com/privacy-policies/data-privacy-notice-for-employees-applicants-and-independent-contractors/ 

 

 

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