Sr Engineers, Data

T-Mobile

Hybrid

Quick summary

Work type: Hybrid
Location: Frisco, TX
Salary: $156,998–$165,000 / 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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Senior Engineers at T-Mobile in Frisco, TX will lead the development of cloud-based applications and infrastructure, independently developing full software stacks and contributing to designs that enhance existing systems. They will build data persistence solutions using AWS, Azure, and Snowflake, analyze large-scale cloud billing data, and implement Key Performance Indicators (KPIs). The role involves translating business requirements into technical specifications and creating support documentation for system changes. Engineers must have experience with Python, Snowpipe, Cloning, ETL workflows, and tools like Control-M, GitHub, and UC4 to automate CI/CD pipelines in multi-cloud environments. They will collaborate globally on data cleaning, analysis, and visualization, ensuring compliance and reliability in high-performance cloud-native systems.

Skills

Python Snowflake Azure AWS Databricks Control-M GitHub UC4 Crontab CI/CD DevOps Time Travel Fail-safe zero-copy cloning ETL Data Transformation Root Cause Analysis Audit Checks Multi-cloud Data Engineering

What you'll do

Develop a full software stack independently for cloud-based applications.
Design and implement new insights to enhance existing systems.
Build data persistence solutions using multiple cloud platforms like AWS, Azure, and Snowflake.
Analyze public cloud actuals versus budget/forecast to identify waste and optimization areas.
Extract and analyze large-scale data within cloud billing and usage for decision support.
Maintain Key Performance Indicators (KPIs) for system performance and efficiency.

What we're looking for

5+ years of experience in cloud-based data engineering and software development.
Proficient in Python, Snowflake, AWS, Azure, and Databricks for large-scale data solutions.
Expertise in ETL workflows, data transformation pipelines, and automation tools like Control-M.
Experience in migrating and optimizing data infrastructure from RDBMS to cloud platforms.
Strong collaboration skills with global teams for data analysis and visualization.

Similar roles

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Hybrid

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