Job Summary: 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
Position: Senior Data Engineer Location: San Antonio TX***Onsite*** Duration: 1 Years Job Summary: 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 ...
Position: Senior Data Engineer
Location: San Antonio TX***Onsite***
Duration: 1 Years
Job Summary: 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