

Volto Consulting (IT/Healthcare/Engineering)
Data Engineer GMI XMX Engineering Ops at San Jose CA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer GMI XMX Engineering Ops in San Jose, CA, for 6 months. Requires a BE in Computer Science, 3 years in Data Architect role, strong SQL, Azure data services, Databricks, and ETL/ELT experience. Local candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
May 29, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Jose, CA
-
🧠 - Skills detailed
#Datasets #Databricks #Airflow #Data Pipeline #Computer Science #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Azure #Data Engineering #Data Architecture
Role description
Role: Data Engineer GMI XMX Engineering Ops
Location: San Jose CA
Duration: 6 months
ONSITE ROLE
• LOCAL CANDIDATES ONLY
•
• NOTE: Candidate should be a BE with computer science. - 4 years of computer science engineering degree required
Should have done Data Architect role for at least 3 years.
Data Engineer GMI XMX Engineering Ops
Strong SQL and database fundamentals
Hands-on experience with Azure data services Working knowledge of Databricks Experience with data pipelines, ETL/ELT workflows Familiarity with Airflow / Astronomer workflows Experience handling large-scale structured and unstructured datasets
Skills: Digital : Databricks
Experience Required: 6-8
Role: Data Engineer GMI XMX Engineering Ops
Location: San Jose CA
Duration: 6 months
ONSITE ROLE
• LOCAL CANDIDATES ONLY
•
• NOTE: Candidate should be a BE with computer science. - 4 years of computer science engineering degree required
Should have done Data Architect role for at least 3 years.
Data Engineer GMI XMX Engineering Ops
Strong SQL and database fundamentals
Hands-on experience with Azure data services Working knowledge of Databricks Experience with data pipelines, ETL/ELT workflows Familiarity with Airflow / Astronomer workflows Experience handling large-scale structured and unstructured datasets
Skills: Digital : Databricks
Experience Required: 6-8




