Lead Advanced Analytics

Jobtailor; Dallas (TX); On-site; USD 143,800 - 215,800; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement

Paid Time Off and Holidays

Job summary

AT&T is seeking a Data Engineer/Architect experienced in database management and advanced coding to develop scalable data pipelines and support analytics. The role requires proficiency in SQL and experience with cloud data ecosystems like AWS or Azure.

Joining AT&T provides numerous benefits, including comprehensive health coverages and a robust 401(k) plan. The position demands a presence in the Dallas area and offers a salary range of $143,800 to $215,800.

Qualifications

• 5-7 years experience in data engineering or backend development with significant data work.
• Advanced SQL and proficiency in at least one programming language.

Responsibilities

• Design, build, and maintain scalable data pipelines across multiple source systems.
• Collaborate with stakeholders to translate requirements into data solutions.

Skills

Data engineering

Analytics engineering

SQL

Python

Cloud data ecosystems

Education

Bachelor’s degree in Data Science, Math, Statistics, Engineering, or Physics

Tools

Databricks

Snowflake

Airflow

Spark

Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered

Work Location: Dallas, TX or Bothell, WA or Atlanta, GA

About AT&T

At AT&T we’re redefining the future of connectivity. At our core is a passion to serve our customers with products and services that create connections, improve lives and allow millions to share the stories and experiences that matter. Our Corporate teams are fueled by innovation and a desire to connect the world in meaningful ways. Join our team and bring your bold ideas, supporting and transforming our business across areas like marketing, finance and more.

Summary

Analytics, Reporting, Data Wrangling, creation of dashboard for web and omni channel activities. This role will focus specifically on Support activities reporting and analytics. Responsible for reporting KPI and operational detail. Working with partners to ensure data is available to be captured so it can be reported. Monitor and be able to attribute performance to changing conditions. Create and maintain in suite (Adobe Analytics, Tableau, PowerBI, Quantum Metric, ForeSee/Verint) reports.

Overview

Data Engineer /Architect who has experience in pipelining, database management and advanced coding.

Key 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.

Required Qualifications

• 5-7 years (or equivalent) experience in data engineering, analytics engineering, or backend development with significant data work.
• Advanced SQL and proficiency in at least one language (Python, Java, or Scala).
• Hands‑on experience with orchestration and transformation tools (e.g., Datbricks, Snowflake, Airflow, dbt, Spark, or similar).
• Experience with cloud data ecosystems (AWS/GCP/Azure) and data storage/compute services (data lake/warehouse).
• Strong understanding of data modeling (dimensional modeling and/or other modern modeling approaches).
• Solid engineering practices: Git, code reviews, testing, CI/CD, and clear documentation.

Education/Experience

Bachelor’s degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 5+ years of related experience. Certification is required in some areas.

Salary Range: $143,800.00 - $215,800.00

Joining our team comes with amazing perks and benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company‑designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours: 40

Time Type: Regular

Location: Dallas, Texas, USA / Bothell, WA / Atlanta, GA

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.