Internal Job Title:

Lead Business Intelligence Data Engineer

Location:

League City, Texas - Datacenter I Onsite

Status:

Full-Time, Salaried

Reports to: Principal Business Intelligence Data Engineer Make an Enterprise-Wide Impact

Join our Data Platform team as a Lead Business Intelligence Data Engineer and help modernize the pipelines that power enterprise reporting, analytics, and actuarial models. You will lead complex data engineering efforts across mainframe, data warehouse, data lake, and cloud environments while serving as a trusted technical adviser. What You Will Do Build, monitor, and enhance pipelines that ingest data from core enterprise systems

Prepare, transform, govern, and validate data for reporting, analytics, and downstream models

Reverse engineer legacy SQL and mainframe processes and modernize them using Python notebooks, Databricks, or similar cloud tools

Own complex enterprise projects and data-domain initiatives from design through production

Develop standards, best practices, and workflows that improve data quality and delivery

Troubleshoot complex data issues and provide advanced technical analysis

Mentor developers and collaborate with Actuarial, Life, Annuity, Pension Risk Transfer, and Enterprise Data Analytics teams What You Bring Six + years of relevant data engineering or business intelligence experience

A bachelor's degree or an equivalent combination of relevant experience and professional credentials

Expert-level SQL programming skills

Hands-on experience with Python or another enterprise scripting or object-oriented language

Experience with data ingestion, integration, ETL, and the software development lifecycle

Ability to reverse engineer existing code and translate legacy processes into modern solutions

Strong troubleshooting, analytical, collaboration, and technical mentoring skills Preferred Experience Azure or AWS cloud engineering experience

Experience with Databricks, Snowflake, Azure Data Factory, or comparable platforms

Knowledge of dimensional modeling, data architecture, and full-stack data delivery

Mainframe or z/OS experience, including JCL, Zeke, or navigating mainframe applications

Experience in insurance or financial services Ready to modernize enterprise data at scale? Apply to bring your SQL expertise, engineering mindset, and collaborative guidance to a team who are building reliable data solutions across the organization.