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.
About the Job
NiCE is looking for a Senior Data Engineer to join the team working on solutions in NiCE's CX Engineering team – in particular workforce management. The ideal candidate thrives in a fast-paced, collaborative environment, partnering with engineers, data scientists, and product teams to build real-time, production-grade solutions.
You bring deep hands-on AWS experience and want to apply it to cutting-edge problems, including integrating large language models into customer-facing agentic workflows. Success is measured by enabling ML and feature teams to ship scalable, reliable, and easy-to-use machine learning and AI workflows that power the customer experience.You'll have room to drive innovation at both the application and infrastructure level. We're looking for a proactive problem-solver who takes ownership, builds trust, and works well across teams and backgrounds.
Role Description
- Partner with ML engineers, data scientists, and product engineering teams to translate business needs into technical solutions and ship production features across Playvox WFM and CoPilot for WFM.
- Build and maintain data pipelines to prepare, and ready the data for consumption in features.
- Design, build, and maintain scalable machine learning and generative AI workflows, including integrating Amazon Bedrock and proprietary/foundation models into agentic, customer-facing features.
- Automate steps across the ML/AI lifecycle — data preparation, model training, inference, deployment, and monitoring.
- Collaborate cross-functionally to ensure applications work seamlessly end to end, this includes developing the APIs or UX to help bring the feature to life.
- Experience with AI-assisted engineering practices — using tools like GitHub Copilot and Claude Code to accelerate development, testing, and code review.
- 5+ years of hands-on experience as a Data Engineer or similar, building and deploying solutions on AWS.
- Strong proficiency in Python and JavaScript, with experience writing and maintaining high-quality, production-grade code.
- Hands-on experience with core AWS services: Lambda, S3, Glue, Athena, Kinesis, EC2/ECS, RDS, DynamoDB, and other database systems.
- Experience with NoSQL stores – desirable MongoDB or other document database.
- Experience building and maintaining real-time, low-latency data streaming pipelines from multiple sources.
- Solid knowledge of SQL, data warehousing, ETL, and Data Lake / relational database concepts.
- Experience with source control (GitHub), CI/CD, and containerized deployment.
- Experience with distributed systems and microservice architecture.
- Experience with Apache Spark, AWS Step Functions, and Snowflake.
- Experience with agentic AI workflows or orchestration frameworks.
- Experience with Amazon Bedrock or other generative AI / LLM platforms.
- Experience with Kubernetes or similar container orchestration.
- Knowledge of IAM roles and security groups within AWS.
- Familiarity working with data science teams and productionizing machine learning models.
- Strong documentation and communication skills.
Requisition ID: 11464
Reporting into: Tech Manager
Role Type: Individual Contributor
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.
