Themesoft Inc.
Data Engineer – GMI XMX Engineering Ops
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer – GMI XMX Engineering Ops, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure data services, Databricks, SQL, and experience in Data Architecture (minimum 3 years).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Datasets #Databricks #Scala #Airflow #Data Pipeline #Computer Science #SQL (Structured Query Language) #Database Design #"ETL (Extract #Transform #Load)" #SQL Queries #Azure #Data Engineering #Data Architecture
Role description
Role Overview
We are seeking a highly skilled Data Engineer with strong expertise in Azure data services, Databricks, and SQL fundamentals. The ideal candidate will have prior experience as a Data Architect (minimum 3 years) and a solid background in building and optimizing data pipelines, ETL/ELT workflows, and handling large-scale datasets.
Key Responsibilities
• Design, build, and maintain data pipelines and workflows (ETL/ELT).
• Work with Azure data services and Databricks to deliver scalable solutions.
• Develop and optimize SQL queries and ensure robust database design.
• Orchestrate workflows using Airflow/Astronomer.
• Collaborate with cross-functional teams to support engineering operations.
• Handle large-scale structured and unstructured datasets for analytics and reporting.
Qualifications
• Bachelor of Engineering (Computer Science) – 4-year degree required.
• 6–8 years of experience in Data Engineering.
• Minimum 3 years of Data Architect experience.
• Strong SQL and database fundamentals.
• Hands-on experience with Azure data services.
• Working knowledge of Databricks.
• Familiarity with Airflow/Astronomer workflows.
• Experience managing large-scale datasets (structured & unstructured).
Essential Skills
• Digital: Databricks
• Strong SQL, Azure Data Services, ETL/ELT workflows
Role Overview
We are seeking a highly skilled Data Engineer with strong expertise in Azure data services, Databricks, and SQL fundamentals. The ideal candidate will have prior experience as a Data Architect (minimum 3 years) and a solid background in building and optimizing data pipelines, ETL/ELT workflows, and handling large-scale datasets.
Key Responsibilities
• Design, build, and maintain data pipelines and workflows (ETL/ELT).
• Work with Azure data services and Databricks to deliver scalable solutions.
• Develop and optimize SQL queries and ensure robust database design.
• Orchestrate workflows using Airflow/Astronomer.
• Collaborate with cross-functional teams to support engineering operations.
• Handle large-scale structured and unstructured datasets for analytics and reporting.
Qualifications
• Bachelor of Engineering (Computer Science) – 4-year degree required.
• 6–8 years of experience in Data Engineering.
• Minimum 3 years of Data Architect experience.
• Strong SQL and database fundamentals.
• Hands-on experience with Azure data services.
• Working knowledge of Databricks.
• Familiarity with Airflow/Astronomer workflows.
• Experience managing large-scale datasets (structured & unstructured).
Essential Skills
• Digital: Databricks
• Strong SQL, Azure Data Services, ETL/ELT workflows
