Find The RightJob.
Data Engineer
Key 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.
- 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.
Similar jobs
SDE-II, Query Processing, Aurora DSQL
Amazon.com
East Cleveland, United States
about 4 hours ago
Data Engineer, Content And Data Platform
Amazon.com
Seattle, United States
about 13 hours ago
Data Analyst I
Stackline
Seattle, United States
about 13 hours ago
Business Intelligence Engineer, Amazon Music DISCO
Amazon.com
Sunnyvale, United States
about 15 hours ago
Applied Scientist, Prime Video - Title Lifecycle Presentation
Amazon.com
Seattle, United States
about 16 hours ago
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting
Amazon.com
Seattle, United States
about 17 hours ago
© 2026 Qureos. All rights reserved.