Job Overview
Location
USA - Atlanta, GA
Job Type
Full-time
Category
Data Engineer
Date Posted
March 11, 2026
Full Job Description
📋 Description
- • Join NICE Ltd., a global leader in software solutions for customer experience, financial crime, and public safety, as a Senior Software Engineer focused on CX Platform Data. In this pivotal role, you will be instrumental in shaping and executing our data strategy, working collaboratively with engineering, analytics, and product teams to deliver high-quality data assets that drive innovation and enhance customer experiences.
- • You will be responsible for the end-to-end development, optimization, and maintenance of robust data pipelines and critical data platform components. This involves ensuring data is accurate, accessible, and performant, enabling downstream analytics and AI-driven initiatives.
- • A key aspect of this role is implementing sophisticated solutions that support data federation, enabling seamless access to diverse data sources. You will also contribute to the development and enforcement of semantic modeling and data governance frameworks, ensuring data integrity, consistency, and compliance across the organization.
- • You will actively collaborate with cross-functional teams, including Engineering, Analytics, and Product Management, to understand their data needs and translate them into actionable data solutions. This collaborative approach ensures that the data platform effectively supports business objectives and product development.
- • Embrace and apply cutting-edge AI-driven tools and methodologies to accelerate development cycles, enhance data quality, and boost overall productivity. This includes exploring and integrating AI to automate tasks, improve data processing efficiency, and uncover deeper insights.
- • Proactively investigate and evaluate emerging data technologies, assessing their potential alignment with NICE's strategic goals. You will be encouraged to experiment with new tools and techniques to keep our data infrastructure at the forefront of technological advancements.
- • Operate with a high degree of autonomy, demonstrating strong self-direction and problem-solving capabilities. You will be expected to deliver consistent, high-quality results, even within distributed and dynamic team environments.
- • Contribute to the continuous improvement of our data architecture and engineering practices. This includes participating in code reviews, mentoring junior engineers, and sharing best practices to foster a culture of technical excellence.
- • You will play a crucial role in supporting large-scale data initiatives, ensuring that our data infrastructure can scale effectively to meet growing business demands and complex analytical requirements.
- • The role requires a proactive approach to identifying and resolving data-related challenges, ensuring the reliability and availability of critical data services.
- • You will be involved in designing and implementing data models that are optimized for performance, scalability, and ease of use, catering to a wide range of analytical and operational needs.
- • Contribute to the development of data quality frameworks and monitoring systems to ensure the accuracy and trustworthiness of our data assets.
- • Engage with stakeholders to gather requirements, provide updates, and ensure alignment on data project deliverables and timelines.
- • This position offers a unique opportunity to work with a world-class team on challenging problems at the intersection of big data, AI, and customer experience, making a tangible impact on a global scale.
- • You will be part of an innovative environment that encourages continuous learning and professional growth, with opportunities to expand your skillset in areas such as cloud data platforms, machine learning operations, and advanced analytics.
- • The role demands a strong understanding of modern data engineering principles and best practices, ensuring that solutions are not only functional but also maintainable and scalable for the future.
- • You will contribute to building and maintaining a data ecosystem that empowers business users, data scientists, and engineers with the insights they need to drive strategic decisions and operational improvements.
- • This is an exciting opportunity to leverage your expertise in data engineering to build the foundational data capabilities that power NICE's next generation of intelligent solutions.
🎯 Requirements
- • Strong expertise with Snowflake.
- • Hands-on experience with Kafka, Flink, Spark, and Airflow.
- • Experience with semantic layers (e.g., Cube) and federated data layers (e.g., Trino).
- • Knowledge of distributed systems and modern data engineering patterns.
- • Proficiency with AI tools supporting data engineering workflows.
- • Experience supporting or contributing to large-scale data initiatives.
- • Strong self-direction, problem-solving abilities, and eagerness to learn new technologies.
- • Solid communication and collaboration skills across remote teams.
🏖️ Benefits
- • Competitive salary and benefits package.
- • Opportunity to work with cutting-edge technologies in AI, cloud, and big data.
- • Professional development and continuous learning opportunities.
- • Collaborative and innovative work environment.
- • Chance to make a significant impact on global business operations and customer experiences.
Skills & Technologies
Kafka
Apache Spark
Senior
Remote
About NICE Ltd.
NICE Ltd. is an Israeli-headquartered global enterprise software company that provides cloud platforms for customer engagement, workforce optimization, financial crime and compliance, and advanced analytics. Founded in 1986, it serves contact centers, financial institutions, and public safety organizations with solutions for recording, analytics, robotic process automation, and AI-driven insights. The company operates worldwide, with major offices in the United States, Europe, and Asia-Pacific, supporting clients in improving operational efficiency, customer experience, and regulatory compliance through data-driven decision-making.
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