Data & AI Engineer III (Hybrid)

Globe Life

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
  • 10+ years in Information Technology.
  • 5+ years of hands-on experience in AWS Database Engineering and solutions.
  • Proven record in building data pipelines and database applications.
  • Strong coding skills in Python or similar languages; knowledge of Big Data technologies.
  • Advanced SQL skills and experience with cloud data lake/warehouse solutions.
  • Familiarity with AWS tools like S3, Lambda, and Glue.

Responsibilities

  • Lead the development of data engineering solutions for organizational needs.
  • Establish architecture to meet current and future business requirements.
  • Mentor team members on Cloud Data solutions and best practices.
  • Design and implement data security measures for cloud infrastructures.
  • Support Data Services and app development teams on data engineering solutions.

Benefits

  • Comprehensive health, dental, and vision insurance.
  • Robust life insurance and retirement plans with a company-matched 401k.
  • Paid holidays and time off for work-life balance.
  • Parental leave for new parents.
  • Subsidized subscriptions for fitness and wellness.
  • Company-paid mental health counseling services.
  • Education reimbursement for continued career growth.
Full Job Description
Role Overview:

Could you be our next Data & AI Engineer III? Globe Life is looking for a Data & AI Engineer III to join the team!

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.


What You Can Bring:

  • 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.


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:

  • 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.

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