Senior Data & AI Platform Engineer — Onsite in Dallas

Cricket Wireless LLC.; Dallas (TX); On-site; USD 158,000 - 237,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Paid Time Off

Job summary

AT&T in Dallas is seeking an experienced data engineer to architect, develop, and optimize secure data platforms and analytical apps that transform trusted data into decision support solutions. You will build pipelines, APIs, and services using Python, SQL, and modern stacks such as Snowflake or Databricks.

The role emphasizes cloud architecture, data observability, and scalable production deployments, with leadership responsibilities in driving robust engineering standards across teams.

Qualifications

• 5+ years of related experience in data engineering or software development.
• Bachelor's degree in a technical field or equivalent professional experience.

Responsibilities

• Design and build reliable data pipelines, data models, and serving layers for reporting and analytics.
• Implement data quality, lineage, and contracts across source systems and consuming apps.
• Develop secure backend services and APIs using Python, SQL, and modern web technologies.
• Containerize and deploy applications using Docker and cloud services with secure configurations.
• Lead complex engineering initiatives and mentor team members.
• Establish monitoring, logging, and operational documentation for data products.

Skills

Python

SQL

Snowflake

Databricks

REST/GraphQL

Docker

Azure

Streamlit

React/TypeScript/JS

Orchestration tools

Education

Bachelor's degree

Tools

Snowflake

Databricks

Docker

Job description

AT&T in Dallas is seeking an experienced data engineer to architect, develop, and optimize secure data platforms and analytical apps that transform trusted data into decision support solutions. You will build pipelines, APIs, and services using Python, SQL, and modern stacks such as Snowflake or Databricks.

The role emphasizes cloud architecture, data observability, and scalable production deployments, with leadership responsibilities in driving robust engineering standards across teams.