Developers, Database

T-Mobile•Frisco, TX

1d•Hybrid

About The Position

T-Mobile is hiring a Database Developer in Frisco, Texas. The role develops ETL pipelines into and out of the data warehouse using Python and Snowflake SnowSQL, and supports data movement, processing, curation, and publication for downstream users and applications. The position also contributes to database applications, data pipelines, data warehouses, reporting services, and integrations between on-premises and public cloud infrastructure, including AWS and Azure. The position works with IT partners and business users to define projects, translate BI and reporting needs into database and reporting designs, and develop technology roadmaps. It includes independent analysis, debugging, troubleshooting, testing, documentation, database security administration, and project coordination across multiple platforms and concurrent projects. Telecommuting is permitted, but the employee must work from the Frisco worksite at least 3–4 days per week. The role is 40 hours per week, with no travel anticipated.

Requirements

Bachelor’s degree in Data Analytics Engineering or a related field and 3 years of relevant work experience; alternatively, a master’s degree in Data Analytics Engineering or a related field and 1 year of relevant work experience.
Experience leveraging SnowSQL to extract and transform data between internal databases and create curated datasets.
Experience utilizing Databricks Workflows to orchestrate and schedule automated jobs.
Experience designing Tableau and Power BI dashboards for KPI tracking.
Ability to translate strategic goals into technical testing requirements and work across business and IT teams.
Experience performing ad-hoc SQL analysis and testing complex datasets.
Experience developing and maintaining data dictionaries for KPIs.
At least 18 years of age.
Legally authorized to work in the United States.

Responsibilities

Develop data movements using Snowflake capabilities such as SnowSQL, Tasks, Streams, Time Travel, Data Sharing, and stored procedures.
Use Big Data technologies such as Kafka and Snowflake to store, curate, process, and publish datasets for downstream business users and applications.
Integrate on-premises infrastructure with public cloud infrastructure such as AWS and Azure.
Participate in developing, improving, and maintaining database applications.
Work with IT partners and the user community to define projects and manage multiple platforms and projects concurrently.
Perform independent technical analysis, debugging, troubleshooting, code testing, and unit testing for complex modules and projects.
Support work involving data pipelines, data warehouses, and reporting services.
Test and document implementations, including requirements, implementation details, and test conditions.
Manage database security, including account administration, password policy, data encryption, network encryption, and firewall rules.
Translate BI and reporting requirements into database and reporting designs.
Understand data pipelines and methods for automating them using cloud-based and on-premises technologies.
Collaborate with business and IT partner teams to develop business capability and technology roadmaps, and stay informed about emerging strategic capabilities and data availability.
Apply time-management and project-management fundamentals, including scheduling and resourcing.
Use SnowSQL to extract and transform data between internal databases and create curated datasets for business insights.
Use Databricks Workflows to orchestrate and schedule automated jobs, ensuring data availability while reducing manual dependencies.
Design Tableau and Power BI dashboards to track KPIs and support senior-management credit-risk mitigation and strategic decisions.
Translate strategic goals into technical testing requirements for credit strategy implementations, serving as a bridge between business and IT teams.
Perform ad-hoc SQL analysis and regular testing to verify complex dataset accuracy and support reliable business deliverables.
Develop and maintain data dictionaries for key KPIs to promote consistent definitions and measurement across business teams.