Base: $135,040 - $202,560; bonus/equity: not speci...
Hybrid
Spark, snowflake, python, sql, pl/sql
Aws services, devops/dataops pipelines
Data integrity, accessibility, compliance
Join our multi-year Cloud Modernization journey, focusing on integrating data from multiple systems and curating high-quality data products using AI and Cloud tools
Job Summary
Join our multi-year Cloud Modernization journey, focusing on integrating data from multiple systems and curating high-quality data products using AI and Cloud tools.
Uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs, including descriptive, diagnostic, predictive, and prescriptive use cases.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Matching Summary
Join our multi-year Cloud Modernization journey, focusing on integrating data from multiple systems and curating high-quality data products using AI and Cloud tools.
Salary
Base: $135,040 - $202,560; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Spark, Snowflake, Python, SQL, PL/SQL
AWS services, DevOps/DataOps pipelines
Data integrity, accessibility, compliance
Data modeling, governance, security
Agile methodologies (Scrum, Kanban)
Large-scale data processing (batch, near-real-time)
Data observability practices
Nice-to-have
Lakehouse architecture
Data Mesh architecture
Streaming technologies
AI solution leveraging Cloud
Data Governance Office collaboration
Building and integrating AI agents
Tableau, Power BI proficiency
Key Requirements
Bachelor’s or master’s degree in computer science or related discipline
5+ years of experience in data analysis, transformation, and development
2+ years in the insurance or related industry
3+ years developing/deploying data apps on AWS and Snowflake
3+ years SQL, Python, and ETL tools (Informatica IDMC)
3+ years designing/optimizing data models for Data Warehouses, Data Marts, Data Fabric
3+ years processing large-scale structured/unstructured data
3+ years Agile methodologies (Scrum, Kanban)
2+ years leveraging DevOps pipelines
Authorized to work in the US without company sponsorship
Work Rights
Authorized to work in the US without company sponsorship