Senior Data Engineer

We are seeking a Senior Data Engineer to design, build, and operate highly scalable batch and streaming data pipelines supporting T Mobile's Finance and Intelligence platforms. This role requires deep expertise in modern cloud data stacks (Snowflake, Databricks, dbt), strong SQL/Python skills, and solid understanding of finance data domains including billing, revenue, GL, and OPEX. The ideal candidate owns complex pipelines end to end, mentors junior engineers, and helps drive platform standards and best practices. Key Responsibilities

• Design and build scalable, reliable ELT/ETL pipelines for finance data (billing, revenue, GL, OPEX).
• Implement batch and incremental ingestion patterns (full load, CDC, watermark-based).
• Build idempotent, rerunnable pipelines with robust error handling, retry logic, and dead-letter queue patterns., In this role, you will leverage your expertise to help train next-generation AI systems, shaping how models learn, reason, and perform through high-quality, real-world input. Your …

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• 8+ years of experience in data engineering or platform engineering roles.
• Strong experience with Snowflake, Databricks, and dbt in production environments.
• Advanced SQL and Python skills.
• Experience building finance or regulated data pipelines at scale.

Key Skills: data engineering, Snowflake, Databricks, SQL, Python