Sophus IT Solutions

Data Engineer - USC Citizens Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Redmond, WA, paying an undisclosed rate. It requires USC citizenship, hands-on experience with Databricks, DBT, Snowflake, and enterprise SaaS systems, along with strong SQL and Python skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Redmond, WA
-
🧠 - Skills detailed
#ML (Machine Learning) #Python #PySpark #SaaS (Software as a Service) #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Documentation #Spark (Apache Spark) #Data Science #Snowflake #Data Engineering #Compliance #dbt (data build tool) #Workday #Datasets #AI (Artificial Intelligence) #Databricks #Data Quality
Role description
Hello Hope you are Doing great Need USC Location: Redmond WA Role : Data Engineer 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. Qualifications • 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. • Experience on Setting up MCP integration with Databricks.