AWS Data Engineer

You will work closely with architects, engineers, and business leaders throughout the organization to build and execute our strategic data architecture vision. 

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle.  We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry. 

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. 

Our Culture: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition: See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let’s build something meaningful together!

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. 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.

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•    Serving as a single-threaded technical owner for data architecture for global data platform work
•    Develop and design the overall system of data flows and data models for systems that produce our data assets
•    Scale architectural design work through data engineering, data governance, and solutions architecture
•    Lead development of data architecture best practices, standards, design review processes, and creation of repeatable design documents
•    Cultivate culture of data architecture fluency and technical enablement
•    Serve as technical thought leader and innovator, incorporating new ideas, technologies, and ways of working
•    Developing and implementing quality metrics for data to assess and optimize the current data landscape

•    A Bachelors/Masters in computer science/engineering or related experience
•   Looking for 1-3 years of experience with Python, SQL
•    Hands-on experience of relational, dimensional, and/or analytic data management tools, including RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols
•    Experience working with data warehouses, data lakes, and enterprise big data platforms in multi-data-center contexts with a focus on energy data sets
•    At least one current AWS or cloud certifications and documented thought leadership related to data architecture
 

Impact
•    Experience designing scalable and repeatable data architectures to address business challenges rooted in innovation
•    Recognized data architecture subject matter expert serving as internal and external thought leader
•    Experience transforming data quality though metrics and measured improvements
 

Collaboration
•    History of mentoring and leading engineering teams focused on growing their architecture capabilities
•    Experience influencing technical decisions across the different stakeholder levels of the business including non-technical audiences
•    Ability to foster a culture around data-driven reliability, observability, monitoring and automation
•    Proven ability to thrive in nebulous environments and make crisp judgement calls to deliver results
 

Depth
•    Mastery of at least one big data technology and the principles of managing them
•    Proficiency of at least one language related to data engineering
•    Master of cloud data architecture and data integration with large scale environments