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# Senior Data/AI Engineering

- **Company:** AT&T Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $128,400.0 - $192,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Continuous Integration, Information Engineering, Data Integrity, Python (Programming Language), Scala (Programming Language), Scientific Computating, Software Engineering, Statistical Process Control (SPC), SQL Databases, Transmission Control Protocol (TCP), Google Cloud, Snowflake, Apache Spark, Information Technology, Performance Monitor, Apache Kafka, Graphql, Api Design, Software Version Control, Databricks, Programming Languages, Microservices
- **Published:** October 6, 2026
- **Apply:** https://dejobs.org/x/x/E991C70D2C2A444ABAEC8AAADCC291B1/job/

## About the Role

Education/Experience: Bachelor's degree (BS/BA) desired such as Computer Science or Scientific Computing. 3+ years of related experience. Certification is required in some areas.

## Description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered

Overall Purpose: THIS JOB REQUIRES SPECIAL APPROVAL FROM THE COMPENSATION JOB FAMILY OWNER. Architect, develop, and optimize scalable, high-performance solutions using advanced software engineering methodologies and cutting-edge Data & AI technologies, transforming complex data into actionable insights that drive informed decision-making and business growth through collaborative efforts with diverse teams.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:

 * Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and CI/CD. Develop and implement rigorous testing strategies to ensure application reliability and performance. Oversee deployment processes, addressing issues related to configuration, environment, or security.

 * Engineering and Analytics: Translate Data & AI use case requirements into effective data models and pipelines, ensuring data integrity through statistical quality procedures and advanced AI techniques.

 * API & Microservice Development: Architect and build secure, scalable microservices and APIs, ensuring broad usability, security, and adherence to best practices in documentation and version control.

 * Platform Scalability & Optimization: Evaluate and select optimal technologies for cloud and on-premise deployments, implementing strategies for scalability, performance monitoring, and cost optimization.

 * Technologies: Demonstrate expertise with Data & AI technologies (e.g., Spark, Kafka, Databricks, Snowflake), programming languages (e.g., Java, Scala, Python, SQL), API development patterns (e.g., HTTP/REST, GraphQL), and cloud platforms (e.g., Azure, AWS, GCP).

Job Contribution: An experienced professional with advanced, interdisciplinary knowledge, resolving difficult and complex issues using broad professional concepts. Guides others, applying advanced principles and company practices. Leads moderate sized projects (or parts of larger projects) with strategic value. Operates autonomously with frequent senior leadership interaction. Supervisor: No

TCP Career Step Differentiator: Managing complex work related to data engineering and AI.