Data Engineer

Job Description

The Data Engineer will develop, deploy, manage, and maintain analytic data products within MS SQL Server, Snowflake, AWS, or other environments using SQL, Python, and Tableau. This role involves data collection, analysis, processing of big data, and building predictive models and analytic data solutions, including deployment and maintenance. The position will also support legacy database applications and related systems, requiring expertise in MS SQL Server, OLAP (SSAS), and ETL processes (SSIS).

To be successful, the candidate should have a strong understanding of data processing, data science workflows, database management, and analytical problem-solving. Experience as a SQL developer, administrator, or operator is essential.

Responsibilities

About the Day to Day Responsibilities of the Role

Refine and improve analytic products and services, including Connex segmentation and predictive modeling.
Manage and implement periodic database updates to key datasets (e.g., Simmons/MRI Survey).
Implement new analytic product updates and integrations into production systems.
Load, process, and analyze large datasets in Snowflake, SQL Server, and AWS environments.
Support analytic projects and predictive modeling initiatives.
Develop and refine interactive dashboards using Tableau and other reporting tools.
Execute complex SQL queries for data extracts and list fulfillment.
Automate analytic data processes (data ingestion, cleansing, transformation, and deployment).
Build, deploy, and manage predictive models following best practices for model lifecycle management.
Collaborate with Data Engineers, Data Scientists, and Product Managers to define and deliver solutions.
Manage and administer MS SQL Server databases and OLAP applications.
Maintain and support database applications and provide technical assistance.
Fulfill ad hoc data requests and manage periodic operational processes.

Qualifications

About You and How You Can Excel in this Role

Bachelor's degree in Data Engineering, Data Science, Computer Science, or a related technical field.
5+ years of professional experience, with 3+ years in data engineering or analytics.
Strong SQL proficiency; Python experience preferred.
Experience with MS SQL Server (T-SQL, SSAS, SSIS) and Snowflake.
Familiarity with ETL, data wrangling, and cloud platforms (AWS preferred).
Experience applying machine learning or predictive analytics to data solutions is a plus.
Knowledge of Tableau, Excel, or Power BI for data visualization.
Experience with data quality tools (address cleaning, deduplication, etc.).
Strong analytical, problem-solving, and communication skills.
Ability to manage multiple projects, prioritize effectively, and meet deadlines.
Experience working in agile (Scrum/Kanban) environments is a plus.

About Us

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

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reins