This role pays less than
57%
of similar roles. Most pay
$136,956–$210,112
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$174k
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
12 open roles
on FindRole.
Listed pay typically runs
$113,600–$183,050
across 12 roles with salary data.
As a Software Full Stack Engineer at T-Mobile in Bethesda, MD, you will join a dynamic team of software engineers to develop cloud-native systems that meet customer requirements. Your day-to-day responsibilities include building the Enterprise Data Warehouse and ETL pipelines, presenting analytics to other teams, and collaborating with developers to improve applications and visual design. You will use Python for data transformation, Apache Airflow for scheduling ETL workflows, and AWS services like S3, Snowflake, and PostgreSQL for data warehousing and storage. Additionally, you will create Tableau dashboards and optimize SQL queries to enhance report generation and performance. This role requires a Master’s degree or equivalent experience in Information Technology and Management or Computer Science Engineering, with at least one year of relevant work experience.
Build the Enterprise Data Warehouse and ETL pipelines for analytics teams.
Transform raw data into dimensional models usable by business functions.
Optimize API performance to enhance data retrieval speed and efficiency.
Design and maintain Tableau dashboards for visualizing key metrics and KPIs.
Automate data pipeline steps using scripts and tools like Apache Airflow.
What we're looking for
Master’s degree in IT, Computer Science Engineering or related field with over 1 year of relevant experience, or Bachelor’s degree with over 3 years of experience.
Proficient in Python scripting for data transformation and integration using AWS Transfer Family.
Experience scheduling and managing ETL workflows with Apache Airflow and shell scripts.
Utilize AWS S3, Snowflake, and PostgreSQL for data warehousing and query optimization.
Design and maintain Tableau dashboards to visualize business KPIs and deliver reports.
Securely manage sensitive credentials using AWS Secrets Manager and enhance data processing workflows.