Data Engineer - Data Pipelines (Databricks/DBT/Snowflake)

Expedite Talent Solutions; Seattle (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Expedite Talent Solutions in Seattle is seeking a Senior Data Engineer to ingest and process data from Salesforce, D365, Coupa, Workday and partner sources. You will build and maintain Databricks/DBT/Snowflake pipelines to deliver curated AI/ML datasets.

Responsibilities include designing reusable data models, implementing data quality tests, and ensuring governance and cost efficiency. On-site role with local Seattle presence and collaboration with AI/Data Science teams.

Qualifications

• Hands-on experience with Databricks (PySpark/SQL, Unity Catalog).
• Strong background in ETL/ELT pipeline development.
• Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
• Solid SQL and Python skills; knowledge of data quality frameworks.

Responsibilities

• Ingest and process data from Salesforce, D365, Coupa, Workday, Concur, and partner data.
• Build and maintain pipelines in Databricks, DBT, and Snowflake for AI/ML datasets.
• Design simple, reusable data models to support training and inference.
• Implement data quality tests, docs, and lineage in DBT.
• Ensure performance, cost efficiency, and governance compliance.
• Collaborate with Knowledge Management (AI/Data Science) to provide feature-ready datasets.

Skills

Databricks

PySpark/SQL

DBT

Snowflake

Python

SQL

Tools

Unity Catalog

DBT models/tests/docs

Job description

Expedite Talent Solutions in Seattle is seeking a Senior Data Engineer to ingest and process data from Salesforce, D365, Coupa, Workday and partner sources. You will build and maintain Databricks/DBT/Snowflake pipelines to deliver curated AI/ML datasets.

Responsibilities include designing reusable data models, implementing data quality tests, and ensuring governance and cost efficiency. On-site role with local Seattle presence and collaboration with AI/Data Science teams.