Data Engineer

As a technical lead, you will design, build, and operate scalable data platforms in AWS while also guiding engineers through best 
practices, code quality, and delivery excellence. You will work closely with product owners, architects, and stakeholders to translate 
business requirements into robust, production-grade data solutions. 

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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• Accountable for delivery of data deliveries for top insurance and financial services clients world-wide 
• Design, build, and optimize cloud-native data platforms on AWS, including data lakes, data warehouses, and analytics 
stores. 
• Collaborate with BI and analytics platform vendors and internal teams to support production issues, upgrades, and platform 
enhancements. 
• Document data sources on client project and perform gap analysis and identify inflow of bad data into Cloud data 
warehouse and develop recommendations 
• Development of database solutions by designing proposed system; defining database physical structure and functional 
capabilities, security, back-up, and recovery specifications to internal and external stakeholders 
• Work closely with ETL/ELT team for implementing data transformation requirements into the cloud data warehouse. 
• Lead, mentor, and coach a team of data engineers, fostering technical excellence and continuous improvement. 
• Support onboarding and skill development of team members through guidance, pairing, and code reviews. 
• Plan and track delivery commitments, ensuring predictable and high-quality outcomes. 
• Partner with product owners, architects, and stakeholders to prioritize work and manage expectations. 
• Contribute to hiring by participating in interviews and technical assessments

• 5-8+ years of experience in Python programming, specifically in complex data loading using Python. 
• 5-8+ years of hands on (strong) ETL is a must and prior experience in any RDMS experience is a must (Postgres is preferable) 
• 2+ years of mandatory hands on experience in AWS cloud technologies, CI/CD(GIT/ BitBucket) and managing data in AWS  
• 2+ years of hands-on experience in Snowflake is required. 
• Data Mapping expertise, ability to understand business requirements and derive data dictionary and data assets 
requirement for ETL/ELT and DBA groups. 
• Excellent communication skills, both written and verbal and attention to detail 
• Analytical skills is must to understand the requirements and work on the tasks as an individual contributor. 
• Ability to collaborate with peers and develop good working relationships. 
• Knowledge of data warehousing on the AWS platform is required. 
• AWS Certification especially Cloud Practitioner completion is desired. 
• Hands on experience with Snowflake will be an asset.  
• Hands on experience on Linux shell scripting is preferable.