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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** T-Mobile Us, Inc. - **Location:** Bellevue, WA, United States - **Salary:** $84,900.0 - $153,200.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Systems Engineering, Microsoft Azure, Cloud Computing, Information Systems, Data Architecture, Information Engineering, Data Infrastructure, Data Transformation, Data Security, Data Systems, Data Warehousing, DevOps, Apache Hadoop, Python (Programming Language), Standard Sql, SQL Databases, Snowflake, Apache Spark, Multi-Cloud, Data Lakes, Information Technology, Data Management, Data Pipelines - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a1a9ec19e8f3d62f ## About the Role Do you have experience in Snowflake?, Do you have a Bachelor's degree in statistics?, * Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent. Acceptable areas of study include Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience (Required) * 2-4 years Data Engineering (Required) * 1+ year Exposure to Azure (ADLS and Snowflake (Preferred) * 1+ years Experience with big data tools (Spark, Hadoop, etc. (Preferred) * 1+ years Experience Familiarity with CI/CD pipelines and DevOps practices (Preferred) Knowledge, Skills and Abilities: * Cloud Computing (Required) * Collaboration (Required) * Data Modeling (Required) * Snowflake (Platform) (Required) #LI-Corporate * At least 18 years of age * Legally authorized to work in the United States ## Description As a Data Engineer for the Product Innovation Team, you will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data architectures that power data-driven products and insights. Working at the intersection of product and engineering, you will collaborate with senior data engineers, technical product managers, data scientists, analysts, and business stakeholders to deliver high-performance data solutions. In this role, you will build and maintain data pipelines, while supporting modern data lake and data warehouse architectures. You will also help manage data workflows across multi cloud environments such as Snowflake and ADLS. You will write efficient Python and SQL code for data transformation and automation, monitor and optimize pipeline performance, and support data modeling, schema design, and documentation efforts. The ideal candidate is passionate about scalable data infrastructure and committed to ensuring data quality, security, governance, and privacy compliance across cloud platforms., * Build and maintain scalable data pipelines using Snowflake and Azure services * Support development of data architectures including data lakes and data warehouses on Azure * Integrate and manage data workflows across multi-cloud environments for client solutions. * Monitor, troubleshoot, and optimize data pipelines using system engineering best practices. * Write clean, efficient code in Python and SQL for data transformation and automation * Collaborate with data analysts, scientists, and engineering teams to ensure high-quality, accessible data. * Assist in data modeling, schema design, and documentation of data systems. * Ensure adherence to data security, governance, and compliance standards across cloud platforms ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)