Data & AI Engineer III (Hybrid)

Globe Life Inc.
McKinney, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
McKinney, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Audit Trail
Big Data
Cloud Database
Information Systems
Computer Programming
Data as a Services
Information Engineering
ETL
Data Security
Data Visualization
Data Warehousing
Database Applications
Hadoop
Hive
Identity and Access Management
Python
Powershell
Systems Development Life Cycle
DataOps
Amazon Web Services (AWS)
Software Engineering
Scripting (Bash/Python/Go/Ruby)
Sql Optimization
Informatica Powercenter
Delivery Pipeline
Spark
Database Performance
Cloudformation
Data Lake
Information Technology
Data Management
Presto
Cloudwatch
Data Pipelines
Redshift

Job description

This role is responsible for leading the design, development, and implementation of enterprise-scale cloud data engineering solutions, including Data Lake and Data Warehouse architectures on AWS. This person will establish scalable, secure data infrastructure and deliver complex data pipelines and integration solutions that support analytics and business intelligence initiatives. Leveraging expertise in AWS services, advanced SQL, Python, Informatica, and Big Data technologies such as Hadoop and Spark, this role also serves as a technical mentor, providing expert guidance on data engineering best practices, SDLC methodologies, CloudFormation deployment, and AWS AI offerings to advance the organization's evolving data and analytics strategy.

This is a hybrid position 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.
  • Be responsible for establishing 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.

Requirements

  • Bachelor's degree in Computer Science/Engineering, Information Systems, or equivalent work experience in a technical position.
  • 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, including S3, Lambda, Glue, Athena, CloudWatch, CloudTrail, IAM, and 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 in 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, experience in Life Insurance/Annuity/Financial Services, knowledge of AWS AI offerings, and experience with data visualization tools are all a plus.

Applicable To All Employees of Globe Life Family of Companies:

  • Reliable and predictable attendance of your assigned shift.
  • Ability to work full time and/or part time based on the position specifications.

Benefits & conditions

  • Competitive compensation designed to reflect your expertise and contribution.
  • Comprehensive health, dental, and vision insurance plans because your well-being is fundamental to your performance.
  • Robust life insurance benefits and retirement plans, including company-matched 401k and pension plan.
  • Paid holidays and time off to support a healthy work-life balance.
  • Parental leave to help our employees welcome their new additions.
  • Subsidized all-in-one subscriptions to support your fitness, mindfulness, nutrition, and sleep goals.
  • Company-paid counseling for assistance with mental health, stress management, and work-life balance.
  • Continued education reimbursement eligibility and company-paid FLMI and ICA courses to grow your career.
  • Discounted Texas Rangers tickets for a proud visit to Globe Life Field.

About the company

Globe Life McKinney, Texas Full time At Globe Life, we are committed to empowering our employees with the support and opportunities they need to succeed at every stage of their career. We take pride in fostering a caring and innovative culture that enables us to collectively grow and overcome challenges in a connected, collaborative, and mutually respectful environment that calls us to help Make Tomorrow Better., Could you be our next Data & AI Engineer III? Globe Life is looking for a Data & AI Engineer III to join the team!, How Globe Life Will Support You: Looking to continue your career in an environment that values your contribution and invests in your growth? We've curated a benefits package that helps to ensure that you don't just work, but thrive at Globe Life, Opportunity awaits! Invest in your professional legacy, realize your path, and see the direct impact you can make in a workplace that celebrates and harnesses your unique talents and perspectives to their fullest potential. At Globe Life, your voice matters.

Apply for this position