Senior Data Engineer

At AT&T we’re redefining the future of communication by connecting people to greater possibility - with expertise, simplicity, and inspiration. At the heart of our purpose lies a diverse workforce of 140,000 people and a culture that aspires to serve customers first, act boldly, move faster, and win as one.

Our Product Development group, part of AT&T’s Technology Services (ATS) organization, is responsible for building software-based products, services, and platforms that our customers love and need. Harnessing technology and rebuilding software expertise, the team is inspiring simplicity with projects that deliver revenue and cost savings opportunities.

AT&T continues to expand and modernize its high-volume data warehousing and analytics platforms. We are looking for a Senior Data Engineer to design, build, and optimize enterprise-scale ETL/ELT data pipelines in a high-volume data warehouse ecosystem. The ideal candidate brings strong technical expertise in large-scale data movement patterns and performance tuning, along with functional understanding of telecommunications domains such as billing, product, customer, and operational interfaces.

Strong expertise in Python, Databricks, Snowflake, Kafka, Spark, and databases, including building scalable batch and streaming pipelines, data modeling, and data quality practices.

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  Collaborate with lead data engineers to understand requirements and translate business needs into technical implementation plans.

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  Develop and maintain scalable ETL/ELT pipelines for large-volume enterprise data in Snowflake (or similar platforms).

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  Implement and operate data loading frameworks (batch, incremental, CDC, micro-batch, and streaming where applicable) with clear SLAs and operational observability.

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  Build and maintain automation for ingestion, transformation, testing, deployment, and monitoring across data lifecycle stages.

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  Implement and maintain data quality checks, reconciliation controls, and metadata/lineage standards to support production-grade reliability.

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  Leverage AI-fueled coding (AIFC) practices to improve productivity, reduce defects, and accelerate delivery timelines.

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  Participate in code reviews, contribute to best practices, and mentor medior engineers on data engineering technologies and frameworks.

• Strong experience with Python and databases (SQL/NoSQL) for building production-grade data solutions.

• Strong experience with Databricks and Spark for batch and streaming processing.

• Strong experience with Snowflake for data warehousing, performance optimization, and secure data access.

• Strong experience with Kafka and real-time streaming data integration patterns.

• Strong experience with cloud, Docker, and CI/CD practices for scalable, reliable deployments.

• Strong experience with AI-powered IDEs and tools (e.g., Visual Studio, GitHub Copilot, Windsurf, Cursor).

• Strong analytical, problem-solving, and communication skills.

Bachelor level degree or equivalent in Computer Science, or related field of study. 

This is a hybrid-flex worker position where our preference is for you to be present with your team in the office at least 2 days per week.   

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.