

HireOn Tech
Quantexa Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantexa Engineer/Consultant, 100% remote, with a focus on Quantexa platform configuration and deployment. Requires strong skills in Scala, Python, Spark, SQL, and ideally, Quantexa certification. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Florida, United States
-
🧠 - Skills detailed
#Data Pipeline #"ETL (Extract #Transform #Load)" #Java #Scala #Spark SQL #Spark (Apache Spark) #Python #SQL (Structured Query Language) #Azure #AWS (Amazon Web Services) #Data Quality #GCP (Google Cloud Platform) #Data Processing #Deployment #Cloud #Big Data
Role description
Hi,
I have Urgent Job opening for you. Let me know if you are looking for Better Opportunity to work with us.
Title: Quantexa Engineer / Consultant
Location – 100% Remote
Job Description:
• Role Focus: Configuration, deployment, and customization of the Quantexa platform.
Key Responsibilities:
• Implementing Entity Resolution, compounds, and network generation.
• Designing and deploying data pipelines (ETL) using Scala, Python, or Java.
• Utilizing Big Data technologies and Spark for large-scale data processing.
• Configuring solutions on cloud platforms (AWS, Azure, GCP).
• Ensuring data quality and validating outputs against business requirements.
• Required Skills: Strong engineering, Scala/Python, Spark, SQL, and ideally, Quantexa certification.
Hi,
I have Urgent Job opening for you. Let me know if you are looking for Better Opportunity to work with us.
Title: Quantexa Engineer / Consultant
Location – 100% Remote
Job Description:
• Role Focus: Configuration, deployment, and customization of the Quantexa platform.
Key Responsibilities:
• Implementing Entity Resolution, compounds, and network generation.
• Designing and deploying data pipelines (ETL) using Scala, Python, or Java.
• Utilizing Big Data technologies and Spark for large-scale data processing.
• Configuring solutions on cloud platforms (AWS, Azure, GCP).
• Ensuring data quality and validating outputs against business requirements.
• Required Skills: Strong engineering, Scala/Python, Spark, SQL, and ideally, Quantexa certification.




