AI Data Engineer: Systems Integration & Analytics

att

Dallas (TX)

On-site

USD 130,700 - 196,100

Full time

14 days+

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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
Employee Discounts

Job summary

AT&T in Dallas, TX is seeking an AI Data Engineer to design, build, and maintain data-driven solutions that connect systems, automate processes, and unlock actionable insights. The role blends software, data engineering, analytics, and AI/ML to deliver scalable data assets and intelligent workflows.

You will integrate APIs, develop data pipelines, and create dashboards while staying current with AI trends and cloud platforms.

Qualifications

  • Adaptable, able to learn new platforms quickly and integrate systems via APIs.
  • Strong blend of software and data engineering with analytics/AI focus.
  • Ability to understand complex business problems and deliver scalable solutions.

Responsibilities

  • Design, develop, and maintain system integrations and APIs.
  • Build data pipelines, ETL/ELT, and analytics-ready data models.
  • Integrate AI/ML services and enable GenAI workflows in business processes.
  • Create dashboards and reports to drive strategic decisions.
  • Continuously learn new tools and assess feasibility and business value.

Skills

Python
Java
C#
JavaScript/TypeScript
APIs / Web services
SQL
Data pipelines
Cloud platforms (Azure, AWS, GCP)
BI dashboards
AI/ML concepts

Tools

Power BI
Tableau
Looker
Snowflake
Databricks
Azure
AWS
GCP
CI/CD

Job description

AT&T in Dallas, TX is seeking an AI Data Engineer to design, build, and maintain data-driven solutions that connect systems, automate processes, and unlock actionable insights. The role blends software, data engineering, analytics, and AI/ML to deliver scalable data assets and intelligent workflows.

You will integrate APIs, develop data pipelines, and create dashboards while staying current with AI trends and cloud platforms.

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