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

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.

Additional Information

Job titles may span multiple career levels. Base pay is determined by a variety of factors, including training, transferable skills, relevant experience, business needs, and market conditions. Compensation is subject to change and may be modified in the future.

This job posting outlines the general nature and level of work for this role and is not intended to be a comprehensive list of duties, responsibilities, or qualifications. We are committed to building a diverse and inclusive workplace, and we encourage candidates to apply even if their experience does not perfectly align with every qualification- you may be a strong fit for this role or other opportunities at American National.

American National offers a comprehensive benefits package supporting employees' health, financial security, and well-being, including multiple medical plan options, dental and vision coverage, basic life insurance, and health savings accounts. Employees are automatically enrolled in a company-funded 401(k) plan, receive paid time off and holidays, and work in an inclusive, people-first culture that values flexibility, work-life balance, professional growth, and a casual dress environment.