Senior Expert Engineer, Data Services
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Benefits offered by this job
Job summary
ReSource Pro is seeking a Senior Expert Engineer, Data Services to design, build, and deliver modern data and analytics solutions. You will develop scalable data pipelines, curated datasets, semantic models, and dashboards enabling trusted insights and AI-ready data environments for insurance clients.
You will lead data platform evolution, drive best practices, and collaborate with cross-functional teams to deliver end-to-end data solutions that impact client outcomes and modernization efforts.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- 10+ years of hands-on data engineering, data platform development, or analytics engineering experience.
- 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 certifications: PMP/SAFe, CPCU/AINS, CDMP.
Responsibilities
- 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.
Skills
Education
Tools
Job description
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!
ReSource Pro is seeking a Senior Expert Engineer, Data Servicesto 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.
- 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
- 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
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 range for most locations for this role is $96,655-$163860 per year. The salary range may vary based on experience and on the specific geographic location in which the candidate resides.
- 100% paid employee health insurance available on Day 1
- Eligible for all medical, dental, and vision benefits on Day 1
- Remote positions are Internet stipend‑eligible
- 401k with employer match, vested on Day 1
- HSA/FSA available
- Long Term and short‑term disability employer‑provided
- Generous PTO plan with paid holidays + floating holidays
- Development and growth opportunities
- Comprehensive wellness program and prioritization of employee health
The standard interview process includes:
- Behavioral interview with Talent Acquisition
- Online talent assessment
- Hiring Manager interview
*Additional interview steps may be added depending on the position or if further evaluation is needed.
Disclosure: Candidates are evaluated at each step of the process. As a result, not every candidate will complete all steps in the process.
Focused exclusively on the insurance industry, ReSource Pro is the trusted partner insurance organizations rely on to optimize performance, streamline operations and process engineering, and drive growth. Serving 2,000+ carriers, brokers, wholesalers, and MGAs, ReSource Pro is a recognized market leader in insurance workflow optimization, data and technology services, and strategic operating model transformation. Maintaining a 96%+ client retention rate for over a decade, ReSource Pro is the only firm serving the insurance industry to have earned a spot on the Inc. 5000 list 16 times—placing it among the top 0.02% of repeat honorees across all sectors in the Inc. list’s 40+ year history.
ReSource Pro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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