Data Engineer

Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning). Develop governed data products using Databricks, dbt, and Snowflake, integrating enterprise SaaS and external program data.

Duration: 6+ months

*** U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor or transfer visas at this time. ***

 *** No Vendors/3rd parties. ***
 

Build and maintain enterprise data pipelines and curated datasets that support AI/ML training and inference. Develop governed data products using Databricks, dbt, and Snowflake, integrating enterprise SaaS and external program data. Partner with Knowledge Management and Data Science teams to deliver feature-ready datasets.

Requirements:

• 10+ years of experience in Data engineering experience.
• Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
• Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).

Responsibilities:

• Ingest data from Salesforce, Dynamics 365, Coupa, Workday, Concur, and external program or partner sources.
• Build and maintain ETL/ELT pipelines across Databricks, dbt, and Snowflake.
• Develop reusable data models for AI/ML training and inference.
• Implement data quality tests, documentation, and lineage in dbt.
• Optimize pipeline performance and cost efficiency.
• Apply enterprise data governance and compliance standards.
• Collaborate with Knowledge Management and Data Science teams on feature-ready datasets.

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