AI & Data - Data Engineer
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Overview
Remote
On-site
Compensation
$64-$73/hour
Job Description
Job Title: AI & Data - Data EngineerLocation: Seattle, WA 98109Duration: 07 months
Job Description:
- Ingest and process data from Client (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 (Client, D365, Coupa, Workday, Concur).
- Solid SQL and Python skills; knowledge of data quality frameworks.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
FAQs About AI & Data - Data Engineer Jobs at eTeam Inc.
What is the work location for this position at eTeam Inc.?
This job at eTeam Inc. is located in Seattle, WA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at eTeam Inc.?
Candidates can expect a pay range of $64–$73 per hour for this role.
What employment applies to this position at eTeam Inc.?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at eTeam Inc.?
You can apply for this role at eTeam Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.