

Realign LLC
Quantexa Technical Consultant-1
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantexa Technical Consultant on a contract basis, remote from New York, paying "pay rate". The position requires 5+ years in data engineering, expertise in Quantexa, and proficiency in Scala or Java.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
February 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Data Lake #MDM (Master Data Management) #Apache Spark #"ETL (Extract #Transform #Load)" #Normalization #UAT (User Acceptance Testing) #Data Aggregation #Scala #Data Governance #SQL (Structured Query Language) #Documentation #Web Development #AWS (Amazon Web Services) #Data Processing #Data Modeling #Java #Spark (Apache Spark) #Datasets #HBase #Data Engineering #Python #Azure #Cloud #Deployment #Data Quality
Role description
Remote, New York 10048 Posted February 14th, 2026
Looking for more job opportunities? Click here!
Job Type: Contract
Job Category: IT
Job Title: Quantexa Technical Consultant Location – Remote Contract
Quantexa Technical Consultant– Entity Consolidation / Entity Resolution
Role Summary:
We are seeking a Quantexa Technical Consultant with deep expertise in Entity Consolidation and Entity Resolution (ER) using the Quantexa platform. The consultant will be responsible for designing, configuring, and implementing high‑accuracy entity matching, survivorship, and relationship modeling solutions to create a golden source of entities across complex, heterogeneous data sets.
This role focuses on data unification, customer/entity mastering, relationship modeling, and graph-based consolidation, supporting enterprise initiatives such as Customer 360, Legal Entity Hierarchies, Counterparty Aggregation, and Data Quality remediation.
Key Responsibilities:
1. Entity Consolidation & Resolution Design
Design and implement Quantexa Entity Resolution (ER) frameworks to consolidate fragmented entity records across multiple source systems
Define and configure matching strategies, including deterministic, probabilistic, and rules‑based matching
Develop and tune blocking, scoring, and threshold logic to optimize precision and recall
Design entity survivorship and attribute resolution rules to establish golden records
1. Data Modeling & Relationship Engineering
Model entities, attributes, and relationships (e.g., person, organization, account, hierarchy, ownership, affiliations)
Design and optimize graph structures to support connected entity views and lineage traceability
Support hierarchy construction (legal entity hierarchies, householding, corporate ownership structures)
1. Data Engineering & Pipeline Development
Build and maintain Spark‑based ingestion and transformation pipelines for structured and semi‑structured data
Perform data standardization, normalization, enrichment, and quality validation prior to ER processing
Optimize pipeline performance for large‑scale entity datasets
1. Quantexa Platform Configuration
Configure and manage
Entity schemas and data models
ER rules, weights, thresholds, and scoring logic
Matching workflows and resolution pipelines
Develop custom extensions or transformations using Scala/Java where required
Perform ER tuning and remediation based on false match / missed match analysis
1. Integration & Deployment
Deploy Quantexa ER pipelines in cloud (AWS/Azure) or on‑prem environments
Integrate mastered entity outputs with downstream systems (MDM, reporting platforms, analytics tools, enterprise data lakes)
Support UAT, production deployment, and post‑implementation stabilization
1. Stakeholder Collaboration & Delivery
Work closely with data governance, architecture, and business stakeholders
Participate in entity definition workshops, data discovery, and resolution design sessions
Provide documentation, knowledge transfer, and best‑practice guidance on entity consolidation
Required Skills & Experience
Must‑Have:
5+ years of experience in data engineering, MDM, or entity resolution implementations
Hands‑on experience with Quantexa Entity Resolution / Entity Consolidation module
Strong understanding of:
Deterministic vs probabilistic matching
Fuzzy matching, scoring, thresholds, and confidence metrics
Survivorship and golden record creation
Strong experience with Apache Spark and large‑scale data processing
Proficiency in Scala or Java (SQL and Python exposure is a plus)
Good to Have:
Experience with Customer 360, Legal Entity Aggregation, or Risk Data Aggregation (BCBS 239) initiatives
Experience integrating Quantexa ER outputs with MDM platforms or enterprise data lakes
Exposure to data quality, lineage, and governance frameworks
Cloud deployment experience (AWS / Azure)
Required Skills
GRAPHIC DESIGN CONSULTANT
WEB DEVELOPMENT & ANALYTICS CONSULTANT
Remote, New York 10048 Posted February 14th, 2026
Looking for more job opportunities? Click here!
Job Type: Contract
Job Category: IT
Job Title: Quantexa Technical Consultant Location – Remote Contract
Quantexa Technical Consultant– Entity Consolidation / Entity Resolution
Role Summary:
We are seeking a Quantexa Technical Consultant with deep expertise in Entity Consolidation and Entity Resolution (ER) using the Quantexa platform. The consultant will be responsible for designing, configuring, and implementing high‑accuracy entity matching, survivorship, and relationship modeling solutions to create a golden source of entities across complex, heterogeneous data sets.
This role focuses on data unification, customer/entity mastering, relationship modeling, and graph-based consolidation, supporting enterprise initiatives such as Customer 360, Legal Entity Hierarchies, Counterparty Aggregation, and Data Quality remediation.
Key Responsibilities:
1. Entity Consolidation & Resolution Design
Design and implement Quantexa Entity Resolution (ER) frameworks to consolidate fragmented entity records across multiple source systems
Define and configure matching strategies, including deterministic, probabilistic, and rules‑based matching
Develop and tune blocking, scoring, and threshold logic to optimize precision and recall
Design entity survivorship and attribute resolution rules to establish golden records
1. Data Modeling & Relationship Engineering
Model entities, attributes, and relationships (e.g., person, organization, account, hierarchy, ownership, affiliations)
Design and optimize graph structures to support connected entity views and lineage traceability
Support hierarchy construction (legal entity hierarchies, householding, corporate ownership structures)
1. Data Engineering & Pipeline Development
Build and maintain Spark‑based ingestion and transformation pipelines for structured and semi‑structured data
Perform data standardization, normalization, enrichment, and quality validation prior to ER processing
Optimize pipeline performance for large‑scale entity datasets
1. Quantexa Platform Configuration
Configure and manage
Entity schemas and data models
ER rules, weights, thresholds, and scoring logic
Matching workflows and resolution pipelines
Develop custom extensions or transformations using Scala/Java where required
Perform ER tuning and remediation based on false match / missed match analysis
1. Integration & Deployment
Deploy Quantexa ER pipelines in cloud (AWS/Azure) or on‑prem environments
Integrate mastered entity outputs with downstream systems (MDM, reporting platforms, analytics tools, enterprise data lakes)
Support UAT, production deployment, and post‑implementation stabilization
1. Stakeholder Collaboration & Delivery
Work closely with data governance, architecture, and business stakeholders
Participate in entity definition workshops, data discovery, and resolution design sessions
Provide documentation, knowledge transfer, and best‑practice guidance on entity consolidation
Required Skills & Experience
Must‑Have:
5+ years of experience in data engineering, MDM, or entity resolution implementations
Hands‑on experience with Quantexa Entity Resolution / Entity Consolidation module
Strong understanding of:
Deterministic vs probabilistic matching
Fuzzy matching, scoring, thresholds, and confidence metrics
Survivorship and golden record creation
Strong experience with Apache Spark and large‑scale data processing
Proficiency in Scala or Java (SQL and Python exposure is a plus)
Good to Have:
Experience with Customer 360, Legal Entity Aggregation, or Risk Data Aggregation (BCBS 239) initiatives
Experience integrating Quantexa ER outputs with MDM platforms or enterprise data lakes
Exposure to data quality, lineage, and governance frameworks
Cloud deployment experience (AWS / Azure)
Required Skills
GRAPHIC DESIGN CONSULTANT
WEB DEVELOPMENT & ANALYTICS CONSULTANT





