Senior Data & Analytics Engineer
About The Position
We're looking for an experienced Data & Analytics Engineer to build the semantic models and dashboards that drive business-critical decisions across the reinsurance business. You'll sit at the intersection of analytics engineering and BI — modeling data for scale, building trusted semantic layers, and turning them into version-controlled, self-service dashboards the business relies on. This is a hands-on role for someone who is equally comfortable designing complex data models in Snowflake, integrating operational data from Aurora, and delivering polished, well-governed Tableau dashboards that stakeholders trust to make real decisions.
Requirements
- 6+ years in Analytics / BI engineering.
- Deep, hands-on Tableau expertise — building and maintaining interactive, business-critical dashboards, including version control of workbooks and data sources.
- Proven experience designing complex semantic and dimensional models for business reporting.
- Hands-on with Snowflake.
- Aurora (MySQL / Postgres) or comparable relational stores.
- Strong in Python and SQL.
- Hands-on experience with at least one major cloud — AWS, GCP, or Azure.
- Version control (Git) and CI/CD applied to analytics and BI assets.
Responsibilities
- Design, build, and maintain interactive Tableau dashboards end-to-end — from data source creation and KPI definition through visualization, layout, and performance tuning — that business teams depend on for critical decisions.
- Build and maintain certified, reusable semantic models and data sources that give the business a single, trusted version of the truth.
- Apply version control and CI/CD to dashboards and workbooks so changes are reviewable, traceable, and safely promoted across environments.
- Develop complex semantic and dimensional models (star/snowflake schemas) optimized for query performance and reliability.
- Build and manage data warehouses on Snowflake; integrate and model operational data from Aurora MySQL.
- Partner with stakeholders to gather reporting requirements and translate them into clear, actionable dashboards and self-service analytics.
- Write clean, performant, and testable code in Python and SQL.
- Ensure data quality, governance, lineage, and observability across analytics assets.
- Optimize cost, performance, and scalability across cloud data infrastructure.
Benefits
- Medical, vision, and dental coverage
- 401(k) Plan with a competitive match
- Company-funded Defined Contribution Retirement Program
- Life and AD&D insurance
- Long- and Short-Term Disability
- Flexible Parental Leave
- Unlimited Sick Days
- Volunteer Time
- Summer Fridays
- Learning & Development Resources
- Personal Wellness Tools and Rewards
- Competitively priced gym memberships from a large nationwide network of gym brands and local fitness studios
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
