Data Engineer III

Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible.

Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today.

We strive to make both our internal and external communities better everyday! Learn more about why you want to be here!

The Data Engineer III will design, develop, and implement data pipelines, data integration and data storage solutions such as data warehouses, data lakes, relational and non‑relational databases. The role will partner closely with IT Managers, Enterprise Business Intelligence, Data Governance and Data Science teams to solve business‑significant data problems and enable data‑driven decision‑making, automation, and optimization. In the process, the role will have the opportunity to act as a Data Advisory member for the Actuarial, Business Intelligence (BI), Data Science, and Data Engineering teams, as well as a collaborator and contributor to Enterprise Data Architecture.

Data is central to ICW Group’s business strategy and digital evolution, and the Data Engineer ensures optimal data delivery architecture is consistent throughout all projects.

Builds data solutions that ensure data integrity and information usability for enterprise‑wide digital solutions and decision making.

• Leads the design and build of scalable data pipelines and solutions (batch and/or streaming) that make the best use of traditional and cloud platforms (AWS or similar) by understanding the business, technology, and data landscape including real‑time data processing.
• Provides analysis of complex data elements and systems, data flow and in development of conceptual, logical, and physical data models as well as verification and implementation of ETL/ELT mappings and transformation logic.
• Designs, supports and peer reviews the data models and schemas for new and existing data sources for the data warehouse.
• Conducts unit, integration, and system tests on our data sources to validate data against source systems, and continuously optimize performance to improve query speed and reduce cost.
• Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using “big data” technologies and tools.
• Leads data initiatives to ensure pipelines are reliable, efficient, testable, and maintainable.
• Maintains a strong understanding of the current landscape and proactively leads the analysis of the current environment to detect data deficiencies, gaps, and opportunities.
• Drives the improvement of engineering team processes via data architecture, engineering, test, and operational excellence best practices.
• Collaborates in implementing components of data strategy – Master Data Management (MDM), data virtualization etc.

• Works closely with BI and Data Science teams in implementing various data streams.
• Partners with Enterprise Architecture, Technology, and Project teams to ensure consistency of solutions approach while maintaining data governance requirements.
• Contributes to data governance and data quality best practices including design reviews, unit testing, code reviews, and continuous integration and deployment.
• Collaborates with data architects to ensure the output of the physical models meet required needs— e.g., collaborates on data definition, data structure, data content and data usage.
• Evaluates and conducts…