Job description

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.

Requirements

Must-haves

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
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
Mainframe or z/OS experience, including JCL, Zeke
Hands-on experience with Python or another enterprise scripting or object-oriented language

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonazureaws

Platform: dayforce
Effort: medium