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← Pie Insurance

Senior Data Engineer

Pie Insurance
Location
United States
Posted
16 days ago
Department
Engineering
What they actually want (must-haves)
  • Minimum 5 years experience as a software engineer or data engineer with a focus on data systems
  • Advanced proficiency writing complex SQL and manipulating large structured and semi-structured datasets
  • Proficiency in Python for building production-grade data pipelines
  • Hands-on Snowflake administration experience, including warehouse management, RBAC and role design, access controls, and cost governance
  • Demonstrable experience designing and implementing modern data warehouses, with an understanding of best practices
  • Experience modeling data in cloud data warehouses such as Snowflake, Redshift, or BigQuery
Nice to have
  • Data Vault 2.0 experience strongly preferred, deep dimensional modeling experience acceptable with willingness to learn Data Vault
  • Proficiency using AI coding assistants (e.g., Claude Code, Cursor, Snowflake Cortex) as a core part of your development workflow
What the job really is

As a Senior Data Engineer at Pie, you will be responsible for developing and maintaining data pipelines that transform raw data into reliable components for the company's data models. You will work with Python and SQL, manage Snowflake, and build Airflow DAGs, while ensuring data accuracy and reliability for various business functions. Additionally, you'll lead technical projects and collaborate with stakeholders to provide technical solutions that align with business needs.

Benefits
  • Competitive cash compensation
  • Comprehensive health plans
  • Generous PTO
  • Future focused 401k match
  • Generous parental and caregiver leave
  • Discretionary bonuses based on company performance
Things to weigh
  • No salary listed in the posting, but a base compensation range is provided
  • Role requires developing deep domain expertise in insurance, which may require additional learning
  • The use of AI in application review and interviews may impact the hiring process
Job score3.2/5
Benefits3/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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