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Data Engineer

CBTS
locationPhoenix, AZ, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

CBTS is a leading IT Solutions Provider with an exceptional track record of delivering results to its clients. With over 27 years of experience, time tested business acumen and a unique vendor neutral approach that ensures unbiased solution design, CBTS is one of the world's leading IT Solution Providers. We "Design Build and Operate" complex, best-of-breed data and data center solutions for highly recognizable customers.


Role Overview

This is a long-term contract role that is Hybrid (3 days in the office) Our client is seeking an experienced Senior Data Engineer with strong hands-on expertise in Quantexa, Scala, Google Cloud Platform (GCP), and ETL development. This role will focus on building and configuring batch and real-time entity resolution solutions that support large-scale data processing and analytics initiatives.


The ideal candidate has practical experience developing, configuring, and deploying Quantexa modules, working closely with data engineering and architecture teams to deliver high-quality, scalable solutions.


Key Responsibilities

Design, develop, and configure Quantexa modules for batch and real-time entity resolution

Build and maintain scalable data pipelines using Scala and ETL frameworks

Develop and optimize data processing solutions on Google Cloud Platform

Collaborate with data architects, engineers, and business stakeholders to translate requirements into technical solutions

Ensure performance, data quality, and reliability across large-scale datasets

Support deployment, testing, and troubleshooting of Quantexa-based solutions

Follow best practices for data engineering, security, and compliance in enterprise environments


Required Qualifications

6 to 9 years of overall experience in data engineering or related roles

Strong hands-on experience with Quantexa, including batch and real-time entity resolution modules

Proficiency in Scala for data processing and application development

Experience building ETL pipelines and large-scale data integrations

Hands-on experience with Google Cloud Platform (GCP)

Strong understanding of data modeling, data quality, and performance optimization


Preferred Qualifications

Quantexa Certification

Experience working in large enterprise or financial services environments

Familiarity with real-time streaming and event-driven architectures

Strong communication skills and ability to work cross-functionally

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