Data Engineer
Core
Designing, building, and optimizing scalable data infrastructure and automation solutions to support operational workflows, reporting, and business-critical analytics in an insurance environment.
Role type
Data Engineer
Builds
Scalable data pipelines, data lakes, warehouses, and automation workflows
Domain
Insurance / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python, SQL, ETL/ELT pipeline development, Azure Data Factory/Synapse/Fabric, relational and non-relational databases, API integrations, Power BI, Docker/Kubernetes, CI/CD
Preferred skills
Dagster, dbt, orchestration tooling, LLM concepts, intelligent document processing, complex transactional datasets
Technologies
Python, SQL, Azure, Data Factory, Synapse, Fabric, Dagster, dbt, Power BI, Docker, Kubernetes
Responsibilities
Design and maintain scalable data pipelines; Build and optimize modern data architectures; Develop robust ETL/ELT pipelines and API integrations; Implement automated validation and data quality controls; Develop and maintain reporting and dashboarding solutions; Collaborate with stakeholders to translate requirements into technical solutions
Seniority
Mid-Senior, hands-on IC