Data & AI Engineer III (Hybrid)

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

Role Overview

Globe Life is looking for a Data & AI Engineer III to lead the design, development, and implementation of enterprise‑scale cloud data engineering solutions, including Data Lake and Data Warehouse architectures on AWS. The role establishes scalable, secure data infrastructure and delivers complex data pipelines and integration solutions that support analytics and business intelligence initiatives. This hybrid position is located in McKinney, TX (WFH Monday & Friday, In‑Office Tuesday‑Thursday).

What You Will Do

• Lead and develop robust data engineering solutions to meet the needs of our organization and business customers.
• Establish appropriate architecture to support current and future business requirements.
• Mentor team members and provide technical guidance on Cloud Data Lake and Data Warehouse design, development, implementation, and monitoring.
• Understand, design, and implement Data Security around cloud data infrastructures.
• Provide support and guidance to Data Services and other application development teams on various Data Engineering and Analytics products.

What You Can Bring

• Bachelor’s degree in Computer Science/Engineering, Information Systems, or equivalent work experience.
• 10+ years of experience in Information Technology.
• 5+ years of hands‑on experience in Database Engineering and data engineering solutions, including design and implementation in AWS Redshift, RDS/Aurora, DMS, Glue, and Lambda.
• Proven experience building data pipelines and database applications.
• Strong coding and scripting experience with Python, PowerShell, or similar languages, including implementation of Big Data technologies such as Hadoop, Spark, Presto, Hive, and Hue.
• Working knowledge of AWS Data Management and Pipeline tools (S3, Lambda, Glue, Athena, CloudWatch, CloudTrail, IAM, SNS).
• Advanced SQL programming and solid understanding of implementing data lake and data warehouse solutions in the cloud.
• Development experience with a major ETL tool, preferably Informatica.
• Experience creating and deploying CloudFormation Templates (CFTs).
• Experience with database performance testing and capacity planning.
• Working knowledge of SDLC and agile/iterative methodologies.
• Excellent verbal and written communication skills and ability to work independently and as part of a team.
• AWS or LOMA certifications and experience in Life Insurance/Annuity/Financial Services are a plus.
• Knowledge of AWS AI offerings and experience with data visualization tools are a plus.

Benefits

• Competitive compensation designed to reflect your expertise and contribution.
• Comprehensive health, dental, and vision insurance plans.
• Robust life insurance benefits and retirement plans, including a company‑matched 401(k) and pension plan.
• Paid holidays and time off to support a healthy work‑life balance.
• Parental leave.
• Subsidized all‑in‑one subscriptions for fitness, mindfulness, nutrition, and sleep.
• Company‑paid counseling for mental health and work‑life balance.
• Continued education reimbursement eligibility and company‑paid FLMI and ICA courses.
• Discounted Texas Rangers tickets.