More jobs:
Data Engineer
Job in
League City, Galveston County, Texas, 77574, USA
Listed on 2026-10-07
Listing for:
American National Insurance
Full Time
position Listed on 2026-10-07
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
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
- 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
- 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
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