Associate Data Engineer

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Manila, Metro Manila, National Capital Region, PHL
In-Office
Cloud • Software • Analytics
The Role

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.

So, what’s the role all about?

Associate Data Engineer at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. 

Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. 


How will you make an impact? 
 

Release & deployment operations 

  • Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows 
  • Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams 
  • Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines 
  • Respond to platform alerts, investigate issues, and keep stakeholders informed 

Observability & support 

  • Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost 
  • Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies 
  • Keep runbooks current and contribute to post-incident reviews 
  • Support data engineering teams with deployment questions and environment issues 

Improvement & automation 

  • Identify and prototype improvements to DataOps processes through scripting and automation 
  • Build and maintain tooling that reduces toil and improves the reliability of our release pipeline 

Day-to-Day Tech 

  • Snowflake
  • AWS (S3, IAM, CloudWatch, Lambda)
  • Jenkins  ·  GitHub Actions 
  • MSK / Kafka 
  • Apache Airflow 
  • Python 
  • ServiceNow 
  • Jira

Have you got what it takes?

  • 2+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure 
  • Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL 
  • AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI 
  • Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions 
  • Python scripting for operational automation 
  • Experience working within a formal change management process: CRs, maintenance windows, approvals 
  • Clear communicator when things break — you keep stakeholders informed without being asked 
  • Comfortable working async across time zones in a distributed team 
  • Familiar with AI tools and comfortable using them in day-to-day work 

Nice to Have 

  • Apache Airflow — DAG monitoring and operational support 
  • MSK / Kafka operational experience 
  • Infrastructure as Code experience — Terraform or similar 
  • Prometheus & Grafana for monitoring and dashboards 

This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required.

This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.​

Requisition ID: 10733
Reporting into: Manager, Engineering, Data CX
Role Type: Individual Contributor

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

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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The Company
HQ: Hoboken, NJ
10,130 Employees
Year Founded: 1986

What We Do

NICE (Nasdaq: NICE) is the worldwide leading provider of both cloud and on-premises enterprise software solutions that empower organizations to make smarter decisions based on advanced analytics of structured and unstructured data. NICE helps organizations of all sizes deliver better customer service, ensure compliance, combat fraud and safeguard citizens. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, are using NICE solutions. www.nice.com.

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