AT&T
Principal Data/AI Engineering
Atlanta Georgia · 8d ago
Not specified7+ YOE
Quick summary
AI parsed- Experience
- 7+ years of related experience in Data/AI engineering. Key skills: Spark, Kafka, Databricks, Snowflake, Java, Scala, Python, SQL, REST/GraphQL APIs, Azure, AWS, GCP, microservices architecture, data pipeline development.
- Salary
- $155,400 - $261,100 USD Annual
- Arrangement
- onsite
Responsibilities
- Lead the creation of scalable Data & AI applications using software engineering best practices 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-premises 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 · 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 mobility, internet, and phone services
Full 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.
At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.
As a Principal Data/AI Engineering your tasks may include, but are not limited to, the following:
Architect, develop, and optimize scalable, high-performance solutions using advanced software engineering methodologies and cutting-edge Data & AI tec…