E-Solutions
Quantexa Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantexa Engineer on a contract basis, located in Phoenix, AZ, Sunrise, FL, or NYC, NY (Hybrid). It requires strong Scala skills, experience with GCP, and expertise in ETL and data warehousing, preferably in financial services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 18, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Scala #GCP (Google Cloud Platform) #Monitoring #Spark (Apache Spark) #DevOps #Data Quality #Security #Deployment #Data Pipeline #Documentation #Compliance #Big Data #Datasets #Data Science #Cloud #Data Modeling #BigQuery #Storage #Hadoop #Dataflow #Data Engineering #"ETL (Extract #Transform #Load)"
Role description
Job Title: Quantexa Engineer
Location: Phoenix AZ / Sunrise, FL / NYC, NY (Hybrid)
Duration: Contract
Role Overview:
• We are seeking a skilled Quantexa Engineer to design, build, and maintain scalable data solutions using Quantexa’s Decision Intelligence Platform.
• The ideal candidate will have strong experience in Scala-based data engineering, cloud-native architectures on Google Cloud Platform (GCP), and large-scale ETL and data warehousing systems.
Key Responsibilities:
• Design, develop, and optimize Quantexa data pipelines using Scala
• Implement and maintain ETL processes for large-scale, high-volume datasets
• Build and manage data warehousing solutions supporting analytics and decision intelligence use cases
• Deploy and operate data platforms on Google Cloud Platform (GCP)
• Integrate diverse data sources (structured and semi-structured) into Quantexa models
• Collaborate with data scientists, architects, and business stakeholders to deliver end-to-end solutions
• Ensure data quality, performance, scalability, and security best practices
• Support production deployments, monitoring, and troubleshooting
• Contribute to technical documentation and knowledge sharing
Required Qualifications:
• Proven experience as a Data Engineer or Quantexa Engineer
• Strong proficiency in Scala
• Hands-on experience with ETL frameworks and Big Data technologies
• Experience building data warehousing solutions
• Practical experience with Google Cloud Platform (GCP) (e.g., BigQuery, Dataflow, Dataproc, Cloud Storage)
• Strong understanding of data modeling and distributed systems
• Ability to work effectively in a collaborative, cross-functional environment
Preferred Qualifications:
• Quantexa Certification (required or strongly preferred, depending on role level)
• Experience with Quantexa Decision Intelligence Platform
• Knowledge of Spark, Hadoop, or similar Big Data ecosystems
• Familiarity with CI/CD pipelines and cloud-native DevOps practices
• Experience in financial services, risk, compliance, or fraud domains
Job Title: Quantexa Engineer
Location: Phoenix AZ / Sunrise, FL / NYC, NY (Hybrid)
Duration: Contract
Role Overview:
• We are seeking a skilled Quantexa Engineer to design, build, and maintain scalable data solutions using Quantexa’s Decision Intelligence Platform.
• The ideal candidate will have strong experience in Scala-based data engineering, cloud-native architectures on Google Cloud Platform (GCP), and large-scale ETL and data warehousing systems.
Key Responsibilities:
• Design, develop, and optimize Quantexa data pipelines using Scala
• Implement and maintain ETL processes for large-scale, high-volume datasets
• Build and manage data warehousing solutions supporting analytics and decision intelligence use cases
• Deploy and operate data platforms on Google Cloud Platform (GCP)
• Integrate diverse data sources (structured and semi-structured) into Quantexa models
• Collaborate with data scientists, architects, and business stakeholders to deliver end-to-end solutions
• Ensure data quality, performance, scalability, and security best practices
• Support production deployments, monitoring, and troubleshooting
• Contribute to technical documentation and knowledge sharing
Required Qualifications:
• Proven experience as a Data Engineer or Quantexa Engineer
• Strong proficiency in Scala
• Hands-on experience with ETL frameworks and Big Data technologies
• Experience building data warehousing solutions
• Practical experience with Google Cloud Platform (GCP) (e.g., BigQuery, Dataflow, Dataproc, Cloud Storage)
• Strong understanding of data modeling and distributed systems
• Ability to work effectively in a collaborative, cross-functional environment
Preferred Qualifications:
• Quantexa Certification (required or strongly preferred, depending on role level)
• Experience with Quantexa Decision Intelligence Platform
• Knowledge of Spark, Hadoop, or similar Big Data ecosystems
• Familiarity with CI/CD pipelines and cloud-native DevOps practices
• Experience in financial services, risk, compliance, or fraud domains
