AI & Data - Data Engineer

Seattle, WA, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Regulatory Compliance
  • SAP Concur
  • Performance Tuning
  • PySpark
  • Python
  • Knowledge Management
  • Machine Learning (ML)
  • Extract, Transform, Load
  • Finance
  • Databricks
  • Documentation
  • Dynamics
  • Collaboration
  • Snow Flake Schema
  • Training
  • SQL
  • SQL Tuning
  • SaaS
  • Salesforce.com
  • Data Quality
  • Data Science
  • ELT
  • Investments
  • Unity
  • Workday

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121769
  • Position Id: 26-02107
  • Posted 3 hours ago
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