Lead Advanced Analytics Engineer - Data Pipelines

AT&T; Dallas (TX); On-site; USD 144,000 - 216,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(k)

Tuition reimbursement

Paid time off

Parental leave

Caregiver leave

Disability benefits

Life insurance

Employee discounts

Job summary

AT&T in Dallas, TX is seeking a Data Engineer/Architect to design and operate scalable data pipelines and analytics dashboards for marketing and operations. You will create curated datasets, models, and reports using tools like Tableau/PowerBI and enterprise data platforms.

The role focuses on data wrangling, KPI reporting, and ensuring data availability for analytics, with collaboration across platform and security teams and strong coding standards.

Qualifications

• 5-7 years of data engineering or analytics experience.
• Advanced SQL and proficiency in Python, Java, or Scala.
• Hands-on with orchestration and transformation tools (Databricks, Snowflake, Airflow, dbt, Spark).
• Experience with cloud data ecosystems (AWS/GCP/Azure) and data lake/warehouse.
• Strong understanding of data modeling (dimensional modeling).
• Solid engineering practices: Git, code reviews, testing, CI/CD, and documentation.

Responsibilities

• Understand key concepts of Marketing data and be ready to work in a fast environment.
• Design, build, and maintain scalable batch and/or streaming data pipelines across multiple source systems (APIs, databases, Engineering Tools and event streams).
• Develop curated datasets and data models that support analytics, reporting, and operational use cases.
• Apply data architecture best practices (ingestion patterns, schema evolution, data contracts, lake/warehouse organization).
• Implement data quality checks, observability/monitoring, lineage, and SLAs; troubleshoot pipeline issues end-to-end.
• Optimize data performance and cost (partitioning, clustering, file formats, query tuning, compute sizing).
• Collaborate with platform/security teams to implement access controls and safe handling of sensitive data.
• Contribute to documentation, reusable frameworks, code standards, and CI/CD automation.
• Work closely with stakeholders to translate requirements into scalable, maintainable data solutions.

Skills

Advanced SQL

Python/Java/Scala

Databricks/Snowflake/Airflow

Cloud platforms (AWS/GCP/Azure)

Data modeling

Git/CI/CD

Education

Bachelor's degree

Tools

Databricks

Snowflake

Airflow

dbt

Spark

Job description

AT&T in Dallas, TX is seeking a Data Engineer/Architect to design and operate scalable data pipelines and analytics dashboards for marketing and operations. You will create curated datasets, models, and reports using tools like Tableau/PowerBI and enterprise data platforms.

The role focuses on data wrangling, KPI reporting, and ensuring data availability for analytics, with collaboration across platform and security teams and strong coding standards.