Principal Data & AI Engineer: Scalable Platforms

AT&T; Atlanta (GA); On-site; USD 155,000 - 233,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Adoption Reimbursement

Disability Benefits

Job summary

AT&T seeks an expert in Data & AI engineering to architect, develop, and optimize scalable, high‑performance solutions. You will lead design, development, testing, and deployment of Data & AI applications, and translate requirements into data models and pipelines.

The role focuses on secure, scalable microservices and APIs, cloud/on‑prem deployments, and cutting‑edge technologies (Spark, Kafka, Databricks, Snowflake) with Java, Scala, Python, SQL.

Qualifications

• Bachelor's degree in Computer Science or related field; 7+ years of related experience.
• Certification is required in some areas.

Responsibilities

• Lead design, development, testing and deployment of scalable Data & AI applications.
• Translate data & AI use case requirements into data models and pipelines.
• Architect and build secure, scalable microservices and APIs.

Skills

Spark

Kafka

Databricks

Snowflake

Java

Scala

Python

SQL

HTTP/REST

GraphQL

Azure

AWS

GCP

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD tooling

Version control

Job description

AT&T seeks an expert in Data & AI engineering to architect, develop, and optimize scalable, high‑performance solutions. You will lead design, development, testing, and deployment of Data & AI applications, and translate requirements into data models and pipelines.

The role focuses on secure, scalable microservices and APIs, cloud/on‑prem deployments, and cutting‑edge technologies (Spark, Kafka, Databricks, Snowflake) with Java, Scala, Python, SQL.