Senior Data Production Engineer

T-Mobile

Quick summary

Work type: On-site
Location: New York, NYPhiladelphia, PA
Salary: $105,100–$189,600 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k

This role $147k

$92k most similar roles pay here $232k

This role pays less than 71% of similar roles. Most pay $139,225–$202,527 — the shaded band above. At the midpoint, this role pays about $147k versus about $171k 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 25 open roles on FindRole.

Listed pay typically runs $109,500–$188,250 across 24 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Senior Data Production Engineer

Apply Now Log in to save

Join T-Mobile Advertising Solutions (T-Ads) as a Senior Data Engineer and contribute to building privacy-first advertising solutions using advanced machine learning and big data technologies. You will design and develop scalable data pipelines and ETL processes, write efficient Python, Spark, and Scala code, and collaborate with cross-functional teams including data scientists and product managers. Key skills include expertise in Python, SQL, Spark, cloud services like GCP, and tools such as Airflow and Kafka. This role involves working on large-scale data processing and maintaining robust infrastructure to support complex analytical tasks, all while adhering to structured design principles and fostering a culture of continuous learning and growth.

Skills

Python Spark Scala Airflow Kafka Google Cloud Platform BigQuery DevOps CI/CD Docker SQL pandas scikit-learn numpy Apache Spark GIS geospatial data Cloud Architecture Data Pipelines ETL Lean Development

What you'll do

Design and develop data engineering solutions for business requirements.
Innovate and maintain scalable big data pipelines and ETL processes.
Write efficient code in Python, Spark, Scala, and related libraries.
Contribute to team knowledge sharing and drive new capabilities advancement.
Assist leaders in project definition, including estimating and planning work.

What we're looking for

Bachelor’s degree in Computer Engineering, Computer Science, or related field required.
4-7 years of hands-on experience with streaming data, databases, and distributed processing technologies.
4-7 years of expertise in Python, SQL, Spark, and relevant libraries for data engineering tasks.
Advanced knowledge in building complex data pipelines and cloud-based services using Airflow, Kafka, and GCP.
Strong background in software engineering, large-scale data, algorithms, and cloud architecture.

Hybrid

Save

Senior Data Engineer

CoStar Group

San Diego, CA 13 days ago $124,000–$190,000

AWS Databricks Apache_Spark C .NET SQL ETL CI/CD Kafka Kinesis Claude_Code

Hybrid

Save