Data Engineer

Description: *****
LEVEL 9


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


Requirements
1. Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
2. Strong background in ETL/ELT pipeline development.
3. Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
4. 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