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AT&T
AT&T

Multinational telecom company.

Specialist Data Analysis

RoleData Analytics
LevelMid Level
LocationNaucalpan De Juarez, Estado de Mexico, Mexico
WorkOn-site
TypeFull-time
Posted1 week ago
Apply now

AT&T connects more than 100 million people across North America every day. Our network infrastructure is one of the largest in the world, and behind it is a global technology organization solving problems at massive scale. Our Mexico City team will be a critical part of that engine—building the data platforms and financial systems that keep one of the world’s largest telecommunications companies running.

AT&T is seeking a Data Analysis Specialist based in Mexico City. In this role, you will join the Finance Commissions team and help modernize how AT&T calculates and pays sales compensation across our U.S. domestic operations. You’ll work at the intersection of finance and engineering—designing scalable data pipelines on the Databricks Lakehouse platform, integrating data from MongoDB, SQL Server, and Oracle via Trino, and replacing legacy ETL processes with clean, governed, production-grade solutions.

This isn’t a peripheral analytics role. Commissions data directly affects the paychecks of thousands of AT&T sales professionals. The accuracy, reliability, and performance of what you build matters—and you’ll see the impact immediately.

What You Will Do:

  • Migrate and refactor legacy ETL processes from Java, Python, and SQL into Databricks using Py Spark
  • Design and maintain scalable data pipelines and workflows using Databricks and Apache Iceberg
  • Integrate data from MongoDB, SQL Server, and Oracle through Trino connectors
  • Build and maintain data models optimized for analytics, reporting, and ML applications
  • Implement data quality checks, validation, and automated anomaly detection to protect compensation accuracy
  • Collaborate with business analysts, ML engineers, and BI developers to deliver end-to-end solutions
  • Establish data lineage, documentation, and governance best practices across the platform

What You Will Need:

  • Strong expertise in PySpark, Databricks, SQL, and data pipeline orchestration
  • Experience integrating and transforming data from MongoDB, SQL Server, and Oracle—ideally via Trino
  • Hands-on experience with Apache Iceberg or Delta Lake
  • Proficiency with cloud data platforms (Azure, AWS, or GCP)
  • Experience migrating legacy ETL workloads to modern data platforms
  • Solid understanding of data modeling, partitioning, and performance optimization
  • Familiarity with CI/CD for data workflows and version control (e.g., Git)

What You Will Bring:

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 3+ years of hands-on experience in data engineering roles
  • Advanced conversational English is required. You’ll collaborate daily with U.S.-based stakeholders in finance and engineering.
  • The role is based in Mexico City. No relocation is offered. This position is hybrid; you may be expected to go into the office 3 days per week.

Why Join Us?

Our Mexico City office is home to a growing technology hub where you will work directly with U.S.-based teams on systems that operate at national scale. You’ll have access to modern tooling, real ownership of critical pipelines, and the backing of a Fortune 500 company that is investing heavily in its data infrastructure.

  • High-impact work: your pipelines directly drive compensation for thousands of sales professionals across the U.S.
  • Modern stack: Databricks, Apache Iceberg, Trino, Py Spark—no maintaining legacy systems you didn’t choose
  • Cross-border collaboration with U.S. finance and engineering teams
  • Career growth within one of the world’s largest technology and telecommunications companies
  • Competitive compensation and benefits package

Our Data Specialist earns between $42,000 – $63,000 MXN gross monthly. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on experience, expertise, and education/training.

Joining Our Team Comes with Amazing Perks and Benefits:

  • Life Insurance
  • Major Medical Expenses
  • Monthly Grocery Vouchers: MXN $3,146
  • Monthly Restaurant Vouchers: MXN $2,517
  • Savings Fund
  • 30 days of Christmas Bonus
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories

Ready to join our team? Apply today!Weekly Hours:

40

Time Type:

Regular

Location:

Naucalpan De Juarez, Estado de Mexico, Mexico

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.

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About AT&T

AT&T

AT&T

Public

AT&T Inc., an abbreviation of its predecessor's original name, the American Telephone and Telegraph Company, is an American multinational telecommunications company headquartered at the Whitacre Tower in Downtown Dallas, Texas.

10,001+

Employees

Dallas

Headquarters

$186.83B

Valuation

Reviews

10 reviews

3.4

10 reviews

Work-life balance

3.2

Compensation

3.5

Culture

3.8

Career

2.5

Management

2.3

65%

Recommend to a friend

Pros

Good benefits and health coverage

Flexible hours and work-life balance

Good pay and job security

Cons

Poor management and lack of direction

Limited career advancement opportunities

High stress levels

Salary Ranges

38 data points

Mid/L4

Lead

Mid/L4 · LEAD ADVANCED ANALYTICS

10 reports

$195,000

total per year

Base

$150,000

Stock

-

Bonus

-

$195,000

$195,000

Interview experience

6 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience