Job description

Company Description


At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.


Job Description


Verisk is seeking a Data Engineer. The candidate will work with a team of engineers or by him/her self to build, deploy, and support custom data pipelines, data warehouses, data lakes, APIs, and analytical platforms to serve internal and external customers in the Insurance domain. We are in the beginning stages of a major transformational effort and this is rare chance to utilize your unique experiences, skills, and ideas to make incredibly impactful contributions. You will work on cutting edge, high-value products with visibility across the organization and should be comfortable working in a dynamic environment.

Day-to-day responsibilities include but not limited to:

  • Solution Architecture, hands-on development, and operationalization of Analytical platform components and data pipelines
  • Collaborate with data scientists for data integration, preparation, and feature engineering
  • Collaborate with Business Champions, Product Managers, data scientists, data SMEs, Project Managers, Scrum Masters, CDO, Security and Architecture Review Board
  • Experience working in an agile environment
  • Guide Dev-ops automation, cloud maturity, and cloud cost control
  • Plan for Security, backup, disaster recovery, business continuity, and archiving
  • Production Support


Qualifications
  • Bachelor’s degree with 4-6 years of relevant experience
  • Recent, hands-on development experience with AWS Services (Lambda, Step Functions, Glue, EMR, API Gateway, EC2, S3, DynamoDB, RDS, IAM, SQS, ECS, EKS, Fargate, etc.) and AWS SDKs/CLI required
  • Recent, hands-on Python and PySpark development experience
  • Strong experience with cloud-based applications
  • Applied experience in solution architecture and business critical platform design
  • Practical knowledge of SQL, Postgress, Gitlab
  • Practical knowledge of Data Warehousing Platforms (Snowflake, Redshift, Postgres)
  • Strong verbal and written communication skills
  • Exceptional problem-solving/critical thinking and root cause analysis skills
  • Ability to learn and adapt new technologies
  • Knowledge of containerization (Docker) and orchestration (Kubernetes)
  • Experience deploying machine learning models is highly desired as well as prior Insurance domain experience is a plus
  • Exposure to Business Intelligence tools such as Power BI and ThoughtSpot is a plus

#LI-LM03


Additional Information


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 disability.

http://www.verisk.com/careers.html

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.

Consumer Privacy Notice

At Verisk, the health and safety of our people is our number one priority. Effective November 15, 2021, and subject to applicable law, all prospective hires for office based roles or roles that support any of our businesses’ government contracts will be required to demonstrate that they are fully vaccinated against COVID-19 by their start date, or qualify for a legally-required medical or religious accommodation to this vaccination requirement, as a condition of employment. Hired candidates who do not demonstrate that they are fully vaccinated against COVID-19 by their start date, and who have not been approved for a legally-required medical or religious accommodation will no longer meet the requirements for employment and their offers of employment will be immediately rescinded, in accordance with applicable law.

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