Medior Data Engineer

At AT&T were 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 140000 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&Ts 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 Medior Data Engineer to develop support and optimize ETL/ELT data pipelines in a high-volume data warehouse ecosystem. The ideal candidate brings solid hands-on experience with data movement patterns and performance tuning along with an interest in building domain understanding across telecommunications areas such as billing product customer and operational interfaces.

Main requirements:

Hands-on experience with Python Databricks Snowflake Kafka Spark and databases including building batch and streaming pipelines data modeling and data quality practices.

Big plus:Experience leveragingagentic solutionspractices to improve productivity reduce defects and accelerate delivery timelines.

As a Medior Data Engineer you will help develop maintain and support ETL/ELT pipelines for large-volume enterprise data and contribute to data quality checks and governance practices end-to-end.

Core Responsibilities

• Collaborate with lead and senior engineers to understand requirements and translate them into implementation tasks.

• Help develop and maintainETL/ELTpipelines for large-volume enterprise data inSnowflake(or similar platforms).

• Support implementation of data loading frameworks (batch incrementalCDC micro-batch and streaming where applicable) and operational observability.

• Help build and maintain automation for ingestion transformation testing deployment and monitoring across data lifecycle stages.

• Contribute to data quality checks reconciliation controls lineage capture and metadata standards for production-grade reliability.

• LeverageAI-fueled coding (AIFC)practices to improve productivity reduce defects and accelerate delivery timelines.

• Participate in code reviews follow best practices and improve documentation and code quality through feedback and collaboration with senior engineers.

Technical Skills

• Hands-on experiencewithPythonanddatabases (SQL/NoSQL)for building data solutions.

• Hands-on experiencewithDatabricksandSparkfor batch processing and basic streaming use cases.

• Hands-on experiencewithSnowflakefor data warehousing and performance-aware development.

• Working experiencewithKafkaand real-time streaming data integration patterns.

• Working experiencewithcloudDocker andCI/CDpractices.

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

• Goodanalytical problem-solving and communication skills.

Years of experience:

1 years of data engineering experience with some hands-on experience supporting building and operating ETL/ELT pipelines using Snowflake Databricks or similar data platforms and frameworks.

Education:

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

Compensation:

Salary range for Slovakia is between 3 283EUR - 4 933EUR gross per month.

Salary range for Czech Republic is between 94 633CZK - 141 941CZK gross per month.

The individual starting salary within this range will depend on relevant factors such as the candidates experience expertise skills and education or training.

Benefits:

A career with us a global leader in communications and technology comes with big rewards. We offer a competitive salary plus an annual company performance bonus. Once youre a part of the team youll gain some amazing perks and benefits including wellness & leisure time contribution sickness compensation plan premium medical services family friendly benefits as well as meal contribution and extra days of vacation (and much more).

Location:

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.

Ready to find out more Apply today!

Weekly Hours:

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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 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.