Data Engineer

Description: *****

LEVEL 9

Responsibilities

• Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
• Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
• Design simple, reusable data models to support training and inference.
• Implement data quality tests, documentation, and lineage in DBT
• Ensure performance optimization, cost efficiency, and compliance with governance standards.
• Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.

Requirements

• Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
• 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.

Is this an onsite role? Preferred on-site. Candidate needs to be local in Seattle.

Location: 500 5th Ave N, Seattle WA 98109

Is a drug screen required? No

Is US citizenship required? Yes

Are green card and H-1 Visa holders acceptable? No

(Kindly note that this comes from request 170126-1, but resource must be local to seattle)

Custom Fields:

Name: Business Dimension

Value: Technology Services

Name: Service Group

Value: Systems Integration

Name: Equivalent Grade

Value: 9

Name: Budgeted Rate - indicate currency and type (hourly/daily)*

Value: Target Bill Rate: *** usd

Name: Contractor Termination Period (Days)

Value: 15 days non reciprocal