Bull Staffing Inc
CCaaS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a CCaaS Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include CCaaS, IVA, GCP, Java, Python, and big data technologies. Requires 4+ years of data engineering experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Java #Jenkins #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #BigQuery #Data Ingestion #Google Cloud Storage #DevOps #Leadership #HADR (High Availability Disaster Recovery) #IAM (Identity and Access Management) #Kafka (Apache Kafka) #AI (Artificial Intelligence) #NLP (Natural Language Processing) #CRM (Customer Relationship Management) #Data Engineering #Infrastructure as Code (IaC) #Microservices #Cloud #Unix #RDBMS (Relational Database Management System) #GIT #Programming #Linux #REST (Representational State Transfer) #SQL (Structured Query Language) #Terraform #Data Modeling #Maven #Agile #VPC (Virtual Private Cloud) #Databases #Disaster Recovery #Automation #REST API #Security #Observability #GCP (Google Cloud Platform) #Migration #NLU (Natural Language Understanding) #Physical Data Model #Big Data #Scala #Storage #Python #NoSQL #Apache Spark #Data Processing #Spring Boot #Data Pipeline
Role description
Position Summary
We are seeking a skilled CCaaS Data Engineer with experience in cloud-native data platforms, Contact Center as a Service (CCaaS), Intelligent Virtual Assistants (IVA), big data technologies, and enterprise customer experience solutions. The ideal candidate will design, develop, and maintain scalable data pipelines, cloud infrastructure, integrations, and analytics platforms while supporting modern contact center ecosystems and conversational AI solutions.
Experience Required
4+ years of commercial software development and data engineering experience.
Primary Skills
· Contact Center / CCaaS
· IVA (Intelligent Virtual Assistant)
· Google Cloud Platform (GCP)
· GKE, Cloud Run, Cloud Functions
· Pub/Sub, Apigee, BigQuery
· Google Cloud Storage
· Terraform
· Java, Python
· Scala, Apache Spark
· Hive SQL
· ETL Development
· Data Modeling
· Big Data Technologies
· RDBMS and NoSQL Databases
· Kafka
· Maven, Git, Jenkins
· CI/CD, DevOps, Observability
· Microservices Architecture
· Cloud Security, Encryption, OAuth
Key Responsibilities
· Design, develop, and maintain scalable data engineering solutions supporting CCaaS and IVA platforms.
· Develop and host cloud-native applications and data services using Java and Python, preferably on Google Cloud Platform (GCP).
· Design and implement conversational AI and customer service integrations including conversational IVR, NLU/NLP workflows, webhook integrations, and speech-to-text/text-to-speech capabilities.
· Build and manage secure, resilient cloud infrastructure utilizing GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, BigQuery, and Terraform.
· Implement IAM controls, VPC architecture, encryption, high availability, disaster recovery, and Infrastructure as Code (IaC) best practices.
· Develop, optimize, and support CCaaS solutions including ACD, skills-based routing, dialers, omnichannel capabilities, and campaign management.
· Support integrations and migrations using CCaaS APIs, telephony services, CRM/CTI integrations, SIP/WebRTC, and cloud contact center platforms.
· Design and develop enterprise ETL/ELT pipelines for large-scale data ingestion, transformation, and analytics.
· Build scalable data processing solutions using Scala, Apache Spark, Hive SQL, BigQuery, and Google Cloud Storage.
· Design and implement logical and physical data models to support reporting, analytics, and operational workloads.
· Develop APIs, services, and microservices-based solutions using Spring Boot, Vert.x, or similar frameworks.
· Implement CI/CD pipelines and DevOps practices using Maven, Git, Jenkins, and related automation tools.
· Work closely with architects, business stakeholders, developers, and operations teams to deliver enterprise-grade solutions.
· Drive continuous improvement initiatives focused on performance, scalability, automation, reliability, and cost optimization.
Technical Qualifications
· Strong experience with BigQuery, Google Cloud Storage, Spark, Scala, Hive SQL, ETL development, and Data Modeling.
· Hands-on experience with Kafka, relational databases, and NoSQL databases.
· Experience designing and implementing distributed and large-scale data processing systems.
· Understanding of data structures, algorithms, object-oriented programming, and design patterns.
· Knowledge of web technologies including HTTP, REST APIs, and Apache technologies.
· Strong Unix/Linux administration and troubleshooting skills.
· Experience with cloud security architecture, encryption technologies, OAuth, and identity management.
· Experience working within Agile delivery environments and DevOps operating models.
Leadership & Professional Skills
Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong analytical, problem-solving, and communication skills. Ability to proactively identify continuous improvement opportunities and contribute to strategic technology initiatives.
Position Summary
We are seeking a skilled CCaaS Data Engineer with experience in cloud-native data platforms, Contact Center as a Service (CCaaS), Intelligent Virtual Assistants (IVA), big data technologies, and enterprise customer experience solutions. The ideal candidate will design, develop, and maintain scalable data pipelines, cloud infrastructure, integrations, and analytics platforms while supporting modern contact center ecosystems and conversational AI solutions.
Experience Required
4+ years of commercial software development and data engineering experience.
Primary Skills
· Contact Center / CCaaS
· IVA (Intelligent Virtual Assistant)
· Google Cloud Platform (GCP)
· GKE, Cloud Run, Cloud Functions
· Pub/Sub, Apigee, BigQuery
· Google Cloud Storage
· Terraform
· Java, Python
· Scala, Apache Spark
· Hive SQL
· ETL Development
· Data Modeling
· Big Data Technologies
· RDBMS and NoSQL Databases
· Kafka
· Maven, Git, Jenkins
· CI/CD, DevOps, Observability
· Microservices Architecture
· Cloud Security, Encryption, OAuth
Key Responsibilities
· Design, develop, and maintain scalable data engineering solutions supporting CCaaS and IVA platforms.
· Develop and host cloud-native applications and data services using Java and Python, preferably on Google Cloud Platform (GCP).
· Design and implement conversational AI and customer service integrations including conversational IVR, NLU/NLP workflows, webhook integrations, and speech-to-text/text-to-speech capabilities.
· Build and manage secure, resilient cloud infrastructure utilizing GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, BigQuery, and Terraform.
· Implement IAM controls, VPC architecture, encryption, high availability, disaster recovery, and Infrastructure as Code (IaC) best practices.
· Develop, optimize, and support CCaaS solutions including ACD, skills-based routing, dialers, omnichannel capabilities, and campaign management.
· Support integrations and migrations using CCaaS APIs, telephony services, CRM/CTI integrations, SIP/WebRTC, and cloud contact center platforms.
· Design and develop enterprise ETL/ELT pipelines for large-scale data ingestion, transformation, and analytics.
· Build scalable data processing solutions using Scala, Apache Spark, Hive SQL, BigQuery, and Google Cloud Storage.
· Design and implement logical and physical data models to support reporting, analytics, and operational workloads.
· Develop APIs, services, and microservices-based solutions using Spring Boot, Vert.x, or similar frameworks.
· Implement CI/CD pipelines and DevOps practices using Maven, Git, Jenkins, and related automation tools.
· Work closely with architects, business stakeholders, developers, and operations teams to deliver enterprise-grade solutions.
· Drive continuous improvement initiatives focused on performance, scalability, automation, reliability, and cost optimization.
Technical Qualifications
· Strong experience with BigQuery, Google Cloud Storage, Spark, Scala, Hive SQL, ETL development, and Data Modeling.
· Hands-on experience with Kafka, relational databases, and NoSQL databases.
· Experience designing and implementing distributed and large-scale data processing systems.
· Understanding of data structures, algorithms, object-oriented programming, and design patterns.
· Knowledge of web technologies including HTTP, REST APIs, and Apache technologies.
· Strong Unix/Linux administration and troubleshooting skills.
· Experience with cloud security architecture, encryption technologies, OAuth, and identity management.
· Experience working within Agile delivery environments and DevOps operating models.
Leadership & Professional Skills
Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong analytical, problem-solving, and communication skills. Ability to proactively identify continuous improvement opportunities and contribute to strategic technology initiatives.
