Remote Senior Analytics Engineer - Modern Data Stack Lead

Bold Penguin; Dublin (OH); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

Flexible PTO

401(k) with company match

Employee Assistance Program

Parental Leave

Disability and Life Benefits

Job summary

Bold Penguin, a leading insurance technology company, is seeking a Senior Analytics Engineer to shape data-driven decisions. You will build scalable data models, migrate from legacy systems, and create self-service analytics with Sigma and Hex.

You will collaborate with business teams to implement AI-enhanced analytics, maintain a centralized semantic layer, and deliver robust data applications in a fast-paced, remote environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 5+ years of analytics engineering or similar technical role.
• Excellent SQL and data warehouse knowledge.
• Hands-on with dbt, Snowflake, Sigma/Hex for analytics apps.

Responsibilities

• Design, build, and maintain data models using dbt core for scalable analytics.
• Migrate data assets from legacy Redshift/Tableau to Snowflake/Sigma/Hex stack.
• Create self-service analytics via dashboards and data apps.
• Develop semantic layer and metrics catalog for multiple downstream apps.
• Write Python scripts for automation, predictive models, and reporting.
• Implement data quality tests and CI/CD for data workflows.
• Incorporate AI/LLMs (including Claude) into analytics workflows.
• Collaborate with business teams and track work in JIRA.

Job description

Bold Penguin, a leading insurance technology company, is seeking a Senior Analytics Engineer to shape data-driven decisions. You will build scalable data models, migrate from legacy systems, and create self-service analytics with Sigma and Hex.

You will collaborate with business teams to implement AI-enhanced analytics, maintain a centralized semantic layer, and deliver robust data applications in a fast-paced, remote environment.