Senior Data Engineer
R
ReSource ProP&C insurance data
All remote positions are based in the United States, and candidates must reside within the U.S. to be eligible for consideration.Full-TimeSenior
Salary$96,655-$163860 per year
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Job Details
- Experience
- 10+ years of hands-on experience in data engineering, data platform development, or analytics engineering
- Required Skills
- AWSAzureData engineering
Requirements
- Hold a bachelor’s degree in Computer Science, Data Science, or a related field.
- Bring 10+ years of hands-on experience in data engineering, data platform development, or analytics engineering.
- Have production operations experience and ownership of difficult technical problems.
- Have deep P&C insurance experience in policy, claims, billing, or underwriting, including familiarity with carrier data models.
- Build scalable data pipelines, data integration workflows, and ETL/ELT processes.
- Have experience with cloud-native data platforms and medallion and lakehouse architectures.
- Have experience developing curated datasets, data models, and semantic layers for analytics and reporting.
- Have experience enabling dashboards, reporting, and data products for analytics use cases.
- Demonstrate ability to ensure data quality, reliability, and performance across pipelines and datasets.
- Translate business requirements into scalable data solutions and collaborate with technical and non-technical stakeholders.
- Be able to travel domestically up to 30%.
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 for reporting and analytics.
- Evolve lakehouse environments and ingestion frameworks, and set best practices for performance and reliability.
- Lead delivery of dashboards, data products, and self-service analytics.
- Partner with product, platform, and domain experts to deliver end-to-end data solutions using insurance industry context.
- Collaborate across data engineering, analytics, and platform teams.
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