AT&T
Principal Data/AI Engineering
Atlanta, Georgia · 10d ago
Not specified7+ YOE
Quick summary
AI parsed- Experience
- 7+ years of related experience in Data & AI engineering. Key skills: Data & AI technologies (Spark, Kafka, Databricks, Snowflake), programming languages (Java, Scala, Python, SQL), API development (HTTP/REST, GraphQL), cloud platforms (Azure, AWS, GCP), software engineering methodologies, CI/CD, microservices architecture.
- Salary
- $155,400 - $233,200 USD Annual
- Arrangement
- onsite
Responsibilities
- 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.
- Translate Data & AI use case requirements into effective data models and pipelines, ensuring data integrity through statistical quality procedures and advanced AI techniques.
- Architect and build secure, scalable microservices and APIs, ensuring broad usability, security, and adherence to best practices in documentation and version control.
- Evaluate and select optimal technologies for cloud and on-premise deployments, implementing strategies for scalability, performance monitoring, and cost optimization.
Benefits
Medical/Dental/Vision coverage · 401(k) plan · Tuition reimbursement program · Paid Time Off and Holidays (at least 23 days vacation + 9 company-designated holidays) · Paid Parental Leave · Paid Caregiver Leave · Adoption Reimbursement · Disability Benefits (short and long term) · Life and Accidental Death Insurance · Employee Assistance Programs (EAP) · Extensive employee wellness programs · Employee discounts up to 50% on AT&T services
Full description
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 app…