CFS · 1 day ago
Data Engineer
CFS is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms for enterprise reporting and analytics. The role involves collaboration with IT, data, and business teams to ensure data accuracy, accessibility, and security while mentoring junior team members.
Responsibilities
Support and enhance the Enterprise Data Warehouse, ensuring reliable and accurate data flows
Design and implement on‑prem or cloud‑based data platforms, integrating enterprise data sources
Build and maintain ETL/ELT pipelines to ingest, transform, and optimize data
Develop and maintain data models for reporting, analytics, and advanced use cases (AI/ML)
Implement data governance, quality, security, and compliance best practices
Enable self‑service analytics and real‑time data processing using modern data technologies
Collaborate with IT, analytics, and business teams to translate data needs into technical solutions
Mentor junior team members and contribute to data architecture and modernization initiatives
Qualification
Preferred
Degree in Information Systems, Data Science, or related field
5+ years of experience in data engineering, data architecture, or related roles
Strong experience with Azure‑based data platforms and lakehouse architectures
Proficiency in ETL/ELT tools (SSIS, Azure Data Factory) and SQL‑based databases
Hands‑on experience with big data and streaming technologies (Databricks, Spark, Kafka, etc.)
Familiarity with BI tools such as Power BI, Tableau, or Looker
Working knowledge of data governance, security, and compliance frameworks
Experience using Jira or similar ticketing systems
Experience with Guidewire InsuranceSuite data models (PolicyCenter, BillingCenter, ClaimCenter) preferred
Experience with Data Mesh architecture
Exposure to machine learning / MLOps
Azure Data Engineer certification
Benefits
Competitive Healthcare Plans
34 Days of PTO
Onsite Gym
Wellness Programs
401(k) match