Senior Data & AI Engineer — Scale High-Impact Platforms

AT&T; Atlanta (GA); On-site; USD 128,000 - 193,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Adoption Reimbursement

Disability Benefits

Life and Accidental Death Insurance

Employee wellness programs

Employee discounts on AT&T plans

Job summary

AT&T in Atlanta is seeking a Senior Data/AI Engineer to architect, develop, and optimize scalable data and AI solutions. This role requires office presence at least 5 days per week and is located in Atlanta, GA.

The ideal candidate will lead end-to-end data engineering efforts, applying advanced AI techniques and modern software practices. Qualifications include a Bachelor's degree in Computer Science or Scientific Computing and 3+ years of related experience; certification may be required in

Qualifications

• Bachelor’s degree (BS/BA) in Computer Science or Scientific Computing and 3+ years of related experience.

Responsibilities

• Design, Development, Testing, and Deployment of scalable Data & AI applications using best practices in software engineering.
• Translate Data & AI use case requirements into effective data models and pipelines with data integrity.
• Architect and build secure, scalable microservices and APIs with proper documentation and version control.
• Evaluate technologies for cloud and on-prem deployments, focusing on scalability, performance, and cost.

Education

Bachelor’s degree in Computer Science or Scientific Computing

Tools

Spark

Kafka

Databricks

Snowflake

Java

Scala

Python

SQL

Job description

AT&T in Atlanta is seeking a Senior Data/AI Engineer to architect, develop, and optimize scalable data and AI solutions. This role requires office presence at least 5 days per week and is located in Atlanta, GA.

The ideal candidate will lead end-to-end data engineering efforts, applying advanced AI techniques and modern software practices. Qualifications include a Bachelor's degree in Computer Science or Scientific Computing and 3+ years of related experience; certification may be required in