Verisk · 19 hours ago
Data Engineering II
Lehi, UT
Full-time
Hybrid
Mid Level
3+ years expVerisk is a leading data analytics and technology partner to the global insurance industry, and they are seeking a Data Engineer to transform raw data into structured datasets for analysis and machine learning. The role involves collaborating with various teams to ensure data integrity and developing scalable data pipelines.
AnalyticsFinancial ServicesHealth CareInformation ServicesInsurancePublic RelationsRisk Management
Responsibilities
Data Pipeline Development: Design, develop, and maintain scalable data pipelines to process raw data from various sources
Data Transformation: Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning
Collaboration: Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions
Data Management: Ensure data accuracy, consistency, and reliability across all datasets
Optimization: Optimize data processes for performance and scalability
Documentation: Maintain comprehensive documentation of data pipelines, processes, and schemas
Qualification
Required
Educational Background: bachelor's degree in computer science, Data Engineering, or a related field
Experience: 3+ years of experience as a Data Engineer or in a similar role
Technical Proficiency: Programming Languages: Proficiency in Python, SQL, and familiarity with languages such as C# or Java
Technical Proficiency: Data Processing: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT)
Technical Proficiency: Big Data Technologies: Hands-on experience with big data technologies such as Hadoop, Spark, and Kafka
Technical Proficiency: Database Management: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Technical Proficiency: Cloud Platforms: Experience with cloud services (e.g., AWS, Google Cloud, Azure) and their data processing tools (e.g., AWS Glue, Google BigQuery)
Technical Proficiency: AI: Familiarity and enthusiasm for bleeding-edge analytical enablement using tools such as Large Language Models and Prompt Engineering
Technical Proficiency: Data Warehousing: Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake)
Technical Proficiency: Version Control: Proficient with version control systems (e.g., Git)
Machine Learning: Understanding of machine learning concepts and experience working with data for ML model training
Benefits
Health Insurance
A Retirement Plan
Disability benefits
A Paid Time Off program
Company
Verisk
Verisk Analytics is a data analytics and risk assessment firm for the insurance sector.
5001-10000 employees
H1B Sponsorship
Verisk has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (4)
2022 (4)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2.4B2025-08-07Post Ipo Debt· $1.5B
2024-05-21Post Ipo Debt· $400M
2023-03-03Post Ipo Debt· $500M
Leadership Team
Lee Shavel
President and Chief Executive Officer
Samantha Vaughan
VP Corp. Compliance Governance & CPO
Recent News
Beinsure - Insurance, Reinsurance, InsurTech Insights
2026-01-14
Beinsure - Insurance, Reinsurance, InsurTech Insights
2026-01-14
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