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?
We are looking for a highly skilled Specialist Data Engineer with strong expertise in Snowflake, AWS, Data Warehousing, and Data Lake technologies. In this role, you will design and build scalable data solutions, analyze complex data environments, troubleshoot production issues, and drive data engineering best practices across cloud-based platforms.
The ideal candidate combines deep technical knowledge with strong analytical and problem-solving skills, enabling them to understand customer challenges, investigate data flows, identify root causes, and deliver scalable solutions. Exposure to real-time data processing, automation, CI/CD, and AI-driven engineering practices is highly desirable.
How Will You Make an Impact?
- Design, develop, and maintain scalable data pipelines and data solutions utilizing Snowflake.
- Build and support Data Warehouse and Data Lake architectures, including data modeling, transformation, and integration.
- Understand end-to-end data lineage, dependencies, transformations, and relationships across platforms.
- Investigate customer-reported and production data issues, perform root cause analysis, and drive timely resolution.
- Develop and troubleshoot cloud-native data solutions across AWS and Snowflake environments.
- Work with real-time data streaming technologies such as Kafka and Flink.
- Implement software engineering best practices including CI/CD, source control, automated testing, and deployments.
- Identify opportunities for automation and improve operational efficiency through reusable frameworks and utilities.
- Leverage Generative AI and Agentic AI capabilities to enhance data engineering workflows, troubleshooting, and productivity.
- Contribute to the scalability, reliability, monitoring, and performance optimization of data platforms.
Have You Got What It Takes?
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- 7 to 12 years of experience in Data Engineering.
- Strong hands-on experience with Snowflake. This is a critical requirement for the role.
- Expertise in SQL, ETL/ELT processes, Data Warehousing, Data Modeling, and Data Lake concepts.
- Strong hands-on experience with AWS services including S3, IAM, EC2, Lambda, CloudWatch, and SQS/SNS.
- Experience integrating Snowflake with AWS-based data ecosystems and Data Lakes.
- Experience working with large-scale data platforms and complex datasets.
- Strong troubleshooting and analytical skills with the ability to independently investigate data issues.
- Experience with Kafka, Flink, or similar stream-processing technologies.
- Experience with Git, CI/CD pipelines, automated deployments, and modern software engineering practices.
- Proficiency in Python, Java, or Scala.
- Understanding of cloud-native architecture, scalability, monitoring, reliability, and performance optimization.
Preferred Qualifications
- Exposure to Generative AI and Agentic AI concepts and practical applications.
- Experience with Snowflake Cortex or similar AI-enabled data platforms.
- Demonstrated experience implementing automation solutions to improve engineering productivity and operational efficiency.
You Will Have an Advantage If You Also Have
- Strong customer-centric problem-solving capabilities.
- Ability to trace and analyze data across multiple systems and layers.
- Experience building reusable frameworks, utilities, and engineering accelerators.
- Strong ownership mindset with a focus on continuous improvement and innovation.
What's In It For You?
- Opportunity to work on large-scale cloud and data platforms.
- Exposure to modern data engineering technologies, AI-driven solutions, and real-time processing frameworks.
- Ability to influence architecture, automation, and engineering best practices.
- Collaborative and innovation-focused work environment.
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.
Requisition ID: 11519
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.
Skills Required
- Bachelor's or Master's degree in Computer Science or related field, or equivalent experience
- 8+ years of software development experience with technical ownership beyond individual features
- Deep expertise in Java
- Hands-on experience with Spring Boot
- Experience designing Microservices architecture and design patterns
- Advanced production experience with Kafka
- Advanced production experience with Apache Flink (tuning, scaling, troubleshooting)
- Strong working expertise in AWS (Kinesis, EKS, S3, Lambda, IAM, CloudWatch)
- Proven, hands-on experience building with Agentic AI tools (e.g., Claude, GitHub Copilot, Copilot Agent Mode, Claude Code)
- Practical experience building and maintaining MCP (Model Context Protocol) servers, AI prompt engineering, plugins, and AI automation pipelines; knowledge of RAG, embeddings, and vector DB trade-offs
- Experience scaling AI-assisted engineering practices across teams (building reusable skills, automations)
- Experience with containerization and orchestration (Kubernetes, Docker)
- Experience with CI/CD practices and tools (Git, GitHub Actions, Jenkins)
- Strong expertise in SQL and data modeling
- Solid unit testing practices and driving test coverage standards
- Excellent communication, stakeholder management, and decision-making skills
- Mentoring and coaching experience across engineering levels
- Experience with Snowflake
NICE Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NICE and has not been reviewed or approved by NICE.
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Healthcare Strength — Benefits are described as broad and comprehensive, spanning medical, dental, vision, life, disability, and mental-health support. Added programs like FSA options and fitness stipends contribute to a well-rounded health and wellness offering.
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Retirement Support — A 401(k) is part of the package, sometimes paired with match details that are described as typical to stronger depending on role and time period. Employee stock participation is also positioned as an additional long-term wealth-building component for eligible roles.
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Flexible Benefits — Flexible work arrangements are emphasized, including hybrid setups and remote options for some roles. Flex scheduling, paid holidays, and paid sick time add to the perceived flexibility of the overall rewards package.
NICE Insights
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.
