Senior Data Engineer
Job Location:
Job Location:
San Antonio, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
15 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
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
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
