Data Engineer

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 visasat 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. 26-00880