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Quantexa Technical Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantexa Technical Lead in Hartford, CT, offering a 6+ month contract at a competitive pay rate. Key skills include Quantexa platform expertise, strong experience in data engineering, and technical leadership in Agile environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Hartford, CT
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🧠 - Skills detailed
#Docker #GCP (Google Cloud Platform) #Shell Scripting #Azure #Spark (Apache Spark) #SQL (Structured Query Language) #Jenkins #Monitoring #Data Processing #Elasticsearch #Hadoop #Java #Linux #Scripting #Deployment #Data Engineering #DevOps #Cloud #Unix #Data Modeling #Automation #Code Reviews #AWS (Amazon Web Services) #Scala #OpenSearch #Compliance #GIT #Data Ingestion #Agile #Python #Kubernetes #Kafka (Apache Kafka) #Big Data #Leadership
Role description
Job Role: Quantexa Technical Lead
Location: Hartford, CT - Hybrid 3 days a week
Duration: Contract for 06+ Months
Job Description:
• Strong experience with Linux| Java/Scala ecosystem| Spark| Elasticsearch/OpenSearch| Kafka| SQL| scripting (Shell/Python)| CI/CD pipelines| and monitoring tools is highly desirable.
Skills:
• Digital : Scala~Unix Shell Scripting and text processing tools~Unix / Linux Basics and Commands
• Experience Required: 10 & Above
Top 3 Required Skills:
• Quantexa Platform Expertise
• Strong hands-on experience with Quantexa solution development, entity resolution, network generation, contextual analytics, and workflow configuration.
• Experience delivering Quantexa solutions for KYC, AML, Fraud, Customer 360, or Financial Crime programs.
• Big Data & Data Engineering
• Expertise in data ingestion, data modeling, Spark, Hadoop ecosystem, SQL, and large-scale data processing.
• Experience integrating multiple structured and unstructured data sources into Quantexa.
• Technical Leadership & Solution Design
• Ability to lead end-to-end solution architecture, development, code reviews, performance optimization, and deployment activities.
• Experience managing technical teams and driving delivery in Agile environments.
Top 3 Preferred Skills:
• Cloud Experience
• AWS, Azure, or GCP experience with large-scale data platforms and cloud-native architectures.
• Financial Services Domain Knowledge
• Knowledge of AML, KYC, Customer Due Diligence (CDD), Sanctions Screening, Fraud Detection, and Regulatory Compliance.
• DevOps & Automation
• CI/CD, Git, Jenkins, Docker, Kubernetes, and automated deployment practices.
Job Role: Quantexa Technical Lead
Location: Hartford, CT - Hybrid 3 days a week
Duration: Contract for 06+ Months
Job Description:
• Strong experience with Linux| Java/Scala ecosystem| Spark| Elasticsearch/OpenSearch| Kafka| SQL| scripting (Shell/Python)| CI/CD pipelines| and monitoring tools is highly desirable.
Skills:
• Digital : Scala~Unix Shell Scripting and text processing tools~Unix / Linux Basics and Commands
• Experience Required: 10 & Above
Top 3 Required Skills:
• Quantexa Platform Expertise
• Strong hands-on experience with Quantexa solution development, entity resolution, network generation, contextual analytics, and workflow configuration.
• Experience delivering Quantexa solutions for KYC, AML, Fraud, Customer 360, or Financial Crime programs.
• Big Data & Data Engineering
• Expertise in data ingestion, data modeling, Spark, Hadoop ecosystem, SQL, and large-scale data processing.
• Experience integrating multiple structured and unstructured data sources into Quantexa.
• Technical Leadership & Solution Design
• Ability to lead end-to-end solution architecture, development, code reviews, performance optimization, and deployment activities.
• Experience managing technical teams and driving delivery in Agile environments.
Top 3 Preferred Skills:
• Cloud Experience
• AWS, Azure, or GCP experience with large-scale data platforms and cloud-native architectures.
• Financial Services Domain Knowledge
• Knowledge of AML, KYC, Customer Due Diligence (CDD), Sanctions Screening, Fraud Detection, and Regulatory Compliance.
• DevOps & Automation
• CI/CD, Git, Jenkins, Docker, Kubernetes, and automated deployment practices.






