Medior Data Engineer

About the role

AT&T is seeking a Medior Data Engineer to design, develop, and maintain high‑volume ETL/ELT pipelines within its modern data warehouse ecosystem. You will work on both batch and streaming data flows, supporting core telecommunications domains such as billing, product, and customer operations.

Key responsibilities

• Collaborate with senior engineers to translate business requirements into scalable data pipelines.
• Build and optimise ETL/ELT processes in Snowflake (or similar platforms) using Python, Databricks, and Spark.
• Implement data loading frameworks including batch, incremental, CDC, micro‑batch, and streaming solutions.
• Automate ingestion, transformation, testing, deployment, and monitoring across the data lifecycle.
• Ensure data quality, lineage, reconciliation controls, and metadata standards for production reliability.
• Leverage AI‑fueled coding practices to improve productivity and reduce defects.
• Participate in code reviews, documentation, and continuous improvement initiatives.

Required profile

• Mid‑level experience building data pipelines in a high‑volume environment.
• Strong problem‑solving skills and ability to work collaboratively.
• Interest in telecommunications data domains.

Required skills

• Python
• Databricks
• Snowflake
• Kafka
• Spark
• SQL / NoSQL databases
• ETL/ELT design and data modelling