Senior Data & AI Engineer — Cloud Data Lake & Warehouse

400 Globe Life And Accident Insurance Company; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision insurance

401(k) and pension plan

Paid holidays and time off

Job summary

400 Globe Life And Accident Insurance Company is seeking a Data & AI Engineer III to lead the design, development, and implementation of enterprise-scale cloud data engineering solutions focused on Data Lake and Data Warehouse architectures. This hybrid role is based in McKinney, TX, offering flexibility for remote work on Mondays and Fridays.

The ideal candidate will have over 10 years of experience in IT, extensive knowledge of AWS data services, and strong coding skills, especially in Python. Benefits include competitive compensation, comprehensive health plans, and a solid retirement package.

Qualifications

• 10+ years of experience in Information Technology.
• 5+ years of hands-on experience in Database Engineering and data engineering solutions.
• Strong coding and scripting experience with Python, PowerShell, or similar languages.

Responsibilities

• Lead and develop robust data engineering solutions.
• Establish appropriate architecture to support business requirements.
• Mentor team members and provide technical guidance.

Skills

AWS Redshift

Python

Data Lake

Data Warehouse

SQL

Data Engineering

ETL

Agile methodologies

Hadoop

Spark

Education

Bachelor’s degree in Computer Science/Engineering or equivalent

Tools

AWS Glue

Informatica

CloudFormation

Job description

400 Globe Life And Accident Insurance Company is seeking a Data & AI Engineer III to lead the design, development, and implementation of enterprise-scale cloud data engineering solutions focused on Data Lake and Data Warehouse architectures. This hybrid role is based in McKinney, TX, offering flexibility for remote work on Mondays and Fridays.

The ideal candidate will have over 10 years of experience in IT, extensive knowledge of AWS data services, and strong coding skills, especially in Python. Benefits include competitive compensation, comprehensive health plans, and a solid retirement package.