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Sr Engineer, Data

Company: T-Mobile
Location: Bellevue
Posted on: June 6, 2021

Job Description:

As a Senior Data Engineer, you will be part of the Analytics Technology team which is responsible for the development, implementation, quality, and reliability of our analytics and data collection technology. You will be responsible for building a system designed to monitor and alert for data anomalies and outliers, with the end goal of proactively acting upon detected data fluctuations and undesired changes in data patterns. Data is foundational to be able to drive our business and enable us to move forward, and you will play an integral part of ensuring we can do so confidently, effectively, and efficiently. You are an individual who has expertise in data architecture and development. You will work very closely with Data Collection and Tagging teams, IT partners, product managers, MarTech and AdTech ecosystem teams while understanding the owned and paid media data ecosystems, and help cross-functional organizations with ad hoc data reporting, root cause analysis, and monitor conversion tracking and media attribution reconciliations.

  • At least 18 years of age.
  • Legally authorized to work in the United States.
  • High School Diploma or GED.
  • Pre-employment background screen.


  • Bachelor's Degree: Computer Science or related Required
  • Preferred Master's Degree in Computer Science or related
  • At least 3 - 5 years developing solutions using cloud platforms (Amazon Web Services, Azure, or Google Cloud)
  • Expert level ETL experience (3+ years) using Big Data technologies/tools
  • Expert level programming skills (3+ years) in at least one major language such as Python, Scala, Java, C++ with proven experience in developing and deploying ETL pipelines.
  • Expert level experience in SQL (5+ years) with multiple successful projects using any RDBMS (database/data warehouse) such as PostgreSQL, Oracle, MY-SQL, MS-SQL Server, Teradata, Azure Data Warehouse or AWS Redshift or Snowflake etc.
  • 2 years of experience in handling at least one or more of these different file formats like CSV, TEXT, JSON, Parquet, Avro, ORC, YAML or similar.
  • 2 years of experience with UNIX/Linux operating system commands and shell scripting (like bash, ksh or csh) with application to successful projects.
  • 2+ years of experience in RESTful and server-to-server APIs.


  • 1 year of experience in AZURE cloud with working knowledge in Databricks, Azure Data Factory and BLOB storage.
  • Familiar with processing and analyzing paid media data like advertisements on TV & social media data and customer journey analysis.
  • 1 year of experience in streaming technologies like Apache Kafka or Spark Streaming or Apache Storm or Apache Flink or any cloud-based streaming.
  • 1 year of experience in data visualization tools like Tableau or Power BI
  • Hands on experience in applying A/B testing, time-series analysis, and machine learning algorithms like Linear/Non-Linear regression, Logistic Regression, K-Means Clustering, and Random Forests etc.
  • 1 year experience in NoSQL databases like HBase, Dynamo DB, Cosmos DB, MongoDB or Cassandra.
  • Familiarity with general cloud technologies (AWS or Microsoft Azure or Google cloud)
  • Design, architect, and develop data architectures in on-premise, cloud and hybrid platforms, supporting key datasets that provide structured and timely access to meaningful business information.
  • Collaborate with other team members on analysis, architecture, design, and development of data warehouse and business analytics solutions.
  • Develop real-time and batch data pipelines, that are reliable, scalable, and highly available, using different sources including first and third party RESTful API and databases.
  • Collaborate with different domain experts, data users and managers/directors to understand the business problem and design robust data engineering solutions.
  • Work with internal partners to ensure reliable data for analysis and downstream paid and owned media operations.
  • Explore, understand, define, and analyze data to develop meaningful solutions and always stay on top of changing data needs and environment.
  • Mentor other team members in their efforts to build data engineering skillsets.

Technology and System:

  • Builds and configures tools and dashboards to perform regular data health checks and reconciliations on user behavior and media partner data, and seamlessly incorporates data from existing and emerging T-Mobile lines of businesses.
  • Perform ad hoc data analysis, data QA, root cause analysis and investigations to uncover data discrepancies among owned and paid media platforms.
  • Demonstrates knowledge of industry best practices, and a deep understanding of how data is collected and stored for downstream analysis and owned and paid media operations.
  • Explore and prototype upcoming data QA techniques, health check tools and provide recommendations.

Project and Product Management:

  • Works with management and teams to understand project and business priorities and proceeds accordingly.
  • Constantly improves the development and configuration processes, tools and methodologies.
  • Ensures high quality and reliability of data using efficient tools, audit, governance and ad hoc reports on time and within budget.

Equal Employment Opportunity

We take equal opportunity seriously-by choice.

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Keywords: T-Mobile, Bellevue , Sr Engineer, Data, Other , Bellevue, Washington

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