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Lead Data Engineer

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Location:
United States , Raleigh, NC ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

110000.00 USD / Year
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Job Description:

Role - Lead Data Engineer (Snowflake, DBT and Qlik)

Job Responsibility:

  • Design, develop, and maintain robust and scalable data transformation pipelines using dbt on the Snowflake platform
  • DBT Macro Development to Create and utilize Jinja-based DBT macros to promote code reusability, modularity, and dynamic SQL generation within DBT projects
  • Data Transformation & Orchestration to Implement and manage data transformation pipelines using DBT, integrating with various data sources and ensuring efficient data flow
  • Utilize advanced dbt concepts, including macros, materializations (e.g., incremental, view, table), snapshots, and configurations to build efficient data models
  • Write highly optimized and complex SQL queries for data manipulation, cleaning, aggregation, and transformation within dbt models
  • Implement and enforce best practices for dbt project structure, version control (Git), documentation, and testing
  • Collaborate with data analysts, engineers, and business stakeholders to understand data requirements and translate them into effective data models (e.g., star schema, snowflake schema)
  • Design and implement logical and physical data models within dbt to support analytical and reporting needs
  • Leverage Snowflake features and functionalities for performance optimization, including virtual warehouses, clustering, caching, and query optimization
  • Manage and optimize data ingestion and integration processes from various sources into Snowflake
  • Ensure data quality, integrity, and lineage throughout the data transformation process
  • Implement and maintain DBT tests to ensure data quality, integrity, and adherence to business rules
  • Implement and maintain data governance policies and procedures within the dbt environment
  • Develop and execute automated tests for dbt models to ensure data accuracy and reliability

Requirements:

  • Proven hands-on experience with dbt in a production environment, including extensive use of macros and advanced modeling techniques
  • Expert-level proficiency in SQL for data querying, manipulation, and transformation
  • Strong experience with Snowflake, including performance tuning and optimization
  • Solid understanding of data warehousing concepts and ETL/ELT processes
  • Experience with version control systems, particularly Git
  • Familiarity with data modeling principles (star schema, snowflake schema)

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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