Are you ready to build the data foundations that power insurance analytics and AI? Do you enjoy turning complex data into trusted insights that drive real business outcomes?
Come Join ReSource Pro!
Your Role...
ReSource Pro is seeking a Senior Expert Engineer, Data Services to design, build, and deliver modern data and analytics solutions within our Technology Services Data Services Practice. You will build scalable data pipelines, curated datasets, semantic models, and dashboards that give clients trusted insights and AI-ready data environments. Work completed directly impacts client outcomes and the advancement of ReSource Pro’s data modernization services.
We hire the best because our service is only as good as the people delivering it. We’re committed to hiring individuals who engage in our amazing culture and embrace our Core Values: Commitment to Community, Teamwork, Passion for Excellence, Service-Centric, and Best Self.
All remote positions are based in the United States,
and candidates must reside within the U.S. to be eligible for consideration.
In this role, you will... Design and build scalable data migration, pipeline, and integration workflows for analytics and operational use cases
Develop and maintain curated datasets, semantic models, and reusable data assets that power reporting and analytics
Evolve our modern data platform, including lakehouse environments and ingestion frameworks, and set best practices for performance and reliability
Lead delivery of dashboards, data products, and self-service analytics that give business users trusted, actionable insights
Partner with product, platform, and domain experts, applying insurance industry context to deliver end-to-end data solutions
Foster collaboration across data engineering, analytics, and platform teams through open, solution-oriented communication
What You Need to be Successful... Bachelor’s degree in Computer Science, Data Science, or a related field
Deep P&C insurance experience (policy, claims, billing, or underwriting), including familiarity with carrier data models; data migration or conversion experience preferred
10+ years of hands-on experience in data engineering, data platform development, or analytics engineering, including production operations and ownership of difficult technical problems
Hands-on experience building scalable data pipelines, data integration workflows, and ETL/ELT processes
Experience with cloud-native data platforms, including medallion and lakehouse architectures; Azure preferred (Microsoft Fabric a plus), AWS acceptable
Proven experience developing curated datasets, data models, and semantic layers for analytics and reporting
Experience enabling dashboards, reporting, and data products for analytics use cases
Demonstrated ability to ensure data quality, reliability, and performance across pipelines and datasets
Strong analytical and problem-solving skills; able to translate business requirements into scalable data solutions
Effective communicator who collaborates across technical and non-technical stakeholders, including data, analytics, product, and business teams
Preferred, not required: PMP/SAFe, CPCU/AINS, CDMP, or cloud provider certifications (AWS, Azure, GCP)
Strong ownership mindset and attention to detail; able to manage multiple priorities in a fast-paced, evolving environment
Ability to travel up to 30%, domestic
Technological proficiency – able to learn, utilize, and navigate a variety of external and internal systems
Your Compensation...
Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes annual bonus eligibility, benefits, and other opportunities at ReSource Pro. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other ReSource Pro employees. This is a remote position, and the salary…