Senior Data Engineer - AI

1 Month ago • 3 Years + • Data Analysis

Job Summary

Job Description

NiCE is seeking a Data Engineer to support its ML-driven features within a multi-tenant CCaaS platform. The role involves designing and building scalable, secure, and tenant-aware data pipelines to process large volumes of contact center transcripts. This position is crucial for providing reliable training data to ML models and ensuring clean, compliant, and efficiently processed input data at scale. The Data Engineer will collaborate with cross-functional teams and global colleagues to establish the foundation for the company's AI capabilities. Responsibilities include developing data pipelines for ingestion and preprocessing transcripts, implementing feature engineering workflows, ensuring data privacy and compliance, creating reproducible datasets for ML training, supporting tenant isolation, and monitoring data quality.
Must have:
  • 3+ years in data engineering
  • AWS data tools experience (Glue, EMR, S3)
  • Proficiency in Python and SQL
  • Experience building ETL workflows
  • Understanding of data quality and multitenancy
Good to have:
  • Snowflake
  • Familiarity with ML feature stores
  • Exposure to GDPR or CCPA

Job Details

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

We are looking for a Data Engineer to support our ML-driven features in a multitenant CCaaS platform. The Data Engineer will design and build scalable, secure, and tenant-aware data pipelines to process large volumes of contact center transcripts.

This role is critical in delivering reliable training data to our ML models and ensuring clean, compliant, and efficiently processed input data at scale. You’ll work closely with a cross-functional team and global collaborators to build the foundation of our AI capabilities.

Responsibilities

  • Design and build scalable data pipelines to ingest and preprocess contact center transcripts.
  • Implement feature engineering workflows for model training and inference.
  • Ensure data pipelines meet privacy, security, and compliance standards.
  • Work with ML Engineers to create reproducible data sets for model training.
  • Support tenant isolation, access control, and lineage tracking.
  • Respond to escalated production issues, sometimes outside normal business hours.
  • Monitor data quality and develop tools to detect and respond to pipeline issues.

Required Qualifications

  • 3+ years of experience in data engineering roles.
  • Strong experience with AWS data tools such as Glue, EMR, or S3.
  • Proficiency in Python and SQL.
  • Experience building and maintaining ETL workflows.
  • Strong understanding of data quality, schema design, and multitenancy considerations.

Preferred Qualifications

  • Snowflake
  • Familiarity with ML feature stores or metadata tracking systems.
  • Exposure to compliance frameworks such as GDPR or CCPA.

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

 

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