Highlights

We are seeking a highly experienced Senior Data Engineer to lead the design and development of model-ready data solutions for Data Analytics & Monitoring Tools for our Pricing Team. Key Responsibilities: Design and implement scalable data pipelines using Snowflake and DBT.

Numbers & Facts

LocationSan Antonio, TX
IndustryOther/Not Classified
Company Size100 to 499 employees

Description

We are seeking a highly experienced Senior Data Engineer to lead the design and development of model-ready data solutions for Data Analytics & Monitoring Tools for our Pricing Team. This role will be responsible for building scalable data pipelines, enabling standardized datasets, and supporting advanced analytics and pricing use cases.

Key Responsibilities:
  • Design and implement scalable data pipelines using Snowflake and DBT
  • Develop model-ready datasets to support pricing and analytics initiatives
  • Establish data standards, metadata management, and governance practices
  • Collaborate with cross-functional teams including pricing, QA, and BI
  • Support data drift monitoring and data quality frameworks
  • Optimize performance and reliability of data workflows
Required Qualifications:
  • 10+ years of experience
  • Strong hands-on experience with Snowflake and DBT
  • Expertise in SQL and data modeling
  • Experience building enterprise data pipelines (ETL/ELT)
  • Knowledge of metadata management and data governance
  • Strong problem-solving and communication skills
  • Working experience in Python
  • Native Commands in Python SDK - inflate column with percentage
  • Migrate Python Scripts - out of the box CLI

Preferred Qualifications:
  • Experience in insurance or financial services
  • Exposure to pricing or actuarial datasets
  • Familiarity with DataStage or Informatica

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