Data Engineer

Internal Job Title: Lead Business Intelligence Data Engineer
Location: League City, Texas – Datacenter I Onsite
Status: Full-Time, Salaried
Vacancies: 1
Reports to: Principal Business Intelligence Data Engineer

Leveling Note: In review of candidate qualifications, another job level may be considered (Business Intelligence Data Engineer, or Senior 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
Mainframe or z/OS experience, including JCL, Zeke
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
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.