Senior Data Engineering Developer

Quantrics Enterprises Inc.

Senior Data Engineering Developer optimizing real-time streaming pipelines for enterprise data at Quantrics. Collaborating on generative AI integration and ensuring system performance in a remote work environment.

Posted 6/5/2026full-timeRemote • 🇵🇭 PhilippinesSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudGoGoogle Cloud PlatformJavaPythonTerraform

About the role

Key responsibilities & impact

Build and optimize real-time streaming pipelines to ensure efficient routing of voice and chat session data into enterprise data platforms
Integrate generative AI solutions with enterprise knowledge bases to ensure accurate and context-aware conversational agent performance
Maintain and configure low-latency databases to ensure secure and reliable storage of session states and operational metadata
Design system architectures and technical blueprints to ensure scalable, resilient, and high-performance solutions
Delegate and manage engineering tasks to ensure effective team productivity and capability development
Develop and execute testing processes to identify system issues and ensure quality and stability in deployed solutions
Collaborate with stakeholders to align requirements, manage expectations, and ensure successful project delivery
Oversee automated PII redaction workflows across voice and text streams to ensure full compliance with data privacy requirements prior to storage.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related quantitative field
Active, verified Google Professional Data Engineer certification
Minimum of 3+ years of experience in GCP data ecosystem technologies including BigQuery, BigTable, and Firestore
Minimum of 3+ years of experience in real-time streaming pipelines using Pub/Sub, Cloud Functions, and Dataflow
At least 1+ year of experience in LLM orchestration and generative AI integration using enterprise data grounding techniques
Minimum of 2+ years of experience with conversational AI platforms such as Google CCAIP and Dialogflow CX
Minimum of 2+ years of experience in infrastructure as code using Terraform and cloud security governance using IAM roles
Strong experience in designing system architecture, debugging complex pipelines, and ensuring system performance
Proficiency in programming languages such as Python, Java, or Go
Strong analytical, problem-solving, and stakeholder communication skills

Benefits

Comp & perks

Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

real-time streaming pipelinesGCP data ecosystemBigQueryBigTableFirestorePub/SubCloud FunctionsDataflowLLM orchestrationgenerative AI integration

Soft Skills

analytical skillsproblem-solving skillsstakeholder communicationteam productivity managementcapability development

Certifications

Google Professional Data Engineer