We are seeking a Senior Data Engineer to design build and operate highly scalable batch and streaming data pipelines supporting T Mobiles 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.
Required Qualifications
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
Job Title: Senior Data Engineer Location: Frisco TX / Bellevue WA Duration: / Term: Contract Experience Desired: 8 Years Job Description: We are seeking a Senior Data Engineer to design build and operate highly scalable batch and streaming data pipelines supporting T Mobiles Finance and Intellige...
Job Title: Senior Data Engineer
Location: Frisco TX / Bellevue WA
Duration: / Term: Contract
Experience Desired: 8 Years
Job Description:
We are seeking a Senior Data Engineer to design build and operate highly scalable batch and streaming data pipelines supporting T Mobiles 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.
Required Qualifications
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.