Sr Engineers, Data

T-Mobile

Hybrid

Quick summary

Work type: Hybrid
Location: Frisco, TX
Salary: $156,998–$164,300 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k

This role $161k

$130k most similar roles pay here $207k

This role pays less than 59% of similar roles. Most pay $137,000–$192,050 — the shaded band above. At the midpoint, this role pays about $161k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 32 open roles on FindRole.

Listed pay typically runs $113,600–$186,400 across 31 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Sr Engineers, Data

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Sr Engineers in Data at Frisco, TX will serve as the SPOC for data infrastructure, architecting robust pipelines and systems that support large-scale ingestion and transformation of data across hybrid cloud environments. They will evolve current infrastructure to be more modular and ML-ready, design deployment frameworks for ML models, and contribute to governance and ethical application of AI. Responsibilities include mentoring junior staff, partnering with other teams to ensure alignment with enterprise standards, and collaborating with senior leaders to translate strategic objectives into data initiatives. The role requires expertise in technologies such as Spark, Python, SQL, Azure Data Factory, Snowflake, Alteryx, Power Automate, and Microsoft Copilot, along with a strong background in data science or related fields. This position is integral to shaping the next generation of Wholesale data systems at T-Mobile, focusing on secure virtualized analytics environments and integrating AI into reporting workflows for future-ready insights.

Skills

Snowflake Azure AWS Databricks Alteryx Power Automate Python SQL Spark Azure Data Factory Power BI Microsoft Copilot OpenAI APIs Google Analytics Netcracker CI/CD Kubernetes

What you'll do

Architect and implement robust data pipelines for hybrid cloud environments.
Evolve infrastructure to be modular, cloud-native, and ML-ready.
Design and support deployment of ML models in production.
Mentor junior engineers on cloud-native architecture and advanced analytics.
Lead governance and ethical application of AI within the organization.
Drive automation initiatives to enhance data quality and streamline reporting.

What we're looking for

5+ years of experience in data engineering and architecture with a focus on cloud-native solutions.
Expertise in designing and implementing ETL frameworks using Snowflake, Azure Data Factory, Databricks, and SQL Server.
Strong background in AI/ML technologies, including deployment and monitoring of ML models in production.
Experience in automating data processes and enhancing data quality through intelligent automation tools like Alteryx and Power Automate.
Proven ability to mentor junior engineers and contribute to the governance and ethical application of AI within an organization.
Leadership in shaping data governance standards and promoting secure, compliant data environments across hybrid cloud infrastructures.
Proficiency in advanced analytics platforms such as Power BI for data-driven storytelling and integration with AI-assisted insights.

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