Data Engineer II/ Senior Data Engineer
- Hiring from
- India
- Work type
- Hybrid
- Posted
- Sep 24, 2026
Overview
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 24,000+ customers worldwide, including 60% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.
Cvent's strength lies in its people, fostering a culture where everyone is encouraged to think like entrepreneurs, taking risks and making decisions confidently. We value diverse perspectives and celebrate differences, working together with colleagues and clients to build strong connections.
AI at Cvent: Leading the Future
Are you ready to shape the future of work at the intersection of human expertise and AI innovation? At Cvent, we’re committed to continuous learning and adaptation—AI isn’t just a tool for us, it’s part of our DNA. We’re looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you’ll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.
Throughout our interview process, you’ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you’re excited to be part of a team that’s leading the way in AI-powered collaboration, we’d love to meet you.
About the Role
The DataDev team builds and operates Cvent’s platform services that power secure data deletion and analytics across Cvent products.
As a Data Engineer, you will focus primarily on:
In This Role, You Will:
- Develop data services and pipelines to capture, cleanse, transform, and route data to destination systems like Snowflake, enabling near real-time processing of customer data.
- Implement and maintain data regulatory frameworks that removes customer data from underlying data stores based on standardized metadata and policies.
- Onboard Cvent products on data pipelines and frameworks including metadata configuration, validation, and integration with product teams.
- Investigate and remediate data pipeline and framework issues for missed tables, incorrect metadata, performance bottlenecks and drive preventive improvements.
- Work with other Cvent products and platform teams to ensure connectivity and compatibility between application services underlying data stores.
- Prepare technical design documents for major modules; identify design concerns, propose and compare approaches, review code, test, and implement solutions.
- Participate in process definition and implementation for service development, testing, releases, and version control; be actively involved in design, grooming, and requirement discussions.
- Provide on-call operational support for DataDev services.
- Implement and support observability (dashboards, alerts, logs, metrics) to monitor service health.
- Write and maintain runbooks, onboarding guides, and best practices and share knowledge with peers.
- Collaborate with analytics and business teams to support downstream reporting, BI, and compliance reporting needs.
- Actively participate in Agile ceremonies (standups, grooming, retros, PI planning) and deliver work items with clear estimates and status updates.
- Use approved AI tools to speed up tasks such as log analysis, impact analysis, documentation, and troubleshooting—while following Cvent’s data privacy and security guidelines.
- Apply basic prompting and validation habits: treat AI suggestions as proposals, validate against logs/code/docs, and avoid pasting sensitive production data into unapproved tools.
- Contribute feedback to improve how DataDev services can be augmented by AI in the future (for example: metadata validation helpers, runbook suggestion, failure summarization).
Here's What You Need:
- Bachelor’s degree (or higher) in Computer Science or a related technical discipline.
- 2–6 years of hands-on programming experience with Java, including strong object-oriented design skills.
- Experience with RESTful Web Services and API development using Dropwizard or Spring Boot Java framework.
- Strong knowledge and experience with one or more relational and non-relational database systems.
- 2+ years of professional experience developing applications with AWS services like IAM, S3, CloudFormation, Kinesis, Redshift and CDK.
- Experience contributing to architecture and design (design patterns and non-functional requirements including performance, scalability, reliability, and security).
- Experience building or operating ETL/ELT or CDC pipelines into a data warehouse or lake (e.g., Redshift, Snowflake).
- Strong SQL skills and hands-on experience with at least two major RDBMS platforms.
- Working knowledge of CI/CD tools (Jenkins, Git, artifact repositories) and infrastructure-as-code concepts (e.g., CloudFormation/CDK).
- Excellent verbal and written communication skills along with strong interpersonal skills; proven ability to work in a fast-paced, agile, result-oriented culture.
- Strong troubleshooting skills and comfort working in production environments (logs, metrics, alerts, runbooks).
- Comfortable using approved AI tools to speed up development and troubleshooting, with a strong habit of validating AI-generated output against code, logs, and runbooks.
- Basic understanding of how large language models work (prompts, context, limitations) and the ability to apply them safely without exposing sensitive production data.
What Will Set You Apart (Preferred Skills)
- Experience developing solutions around GDPR, NSA, or other data protection regulations, especially metadata-driven deletion or masking frameworks.
- Experience/knowledge of Node.js, Python, Apache Spark, and TypeScript for auxiliary tooling, data processing, or automation.
- Experience/knowledge with Java Spring Boot and Snowflake.
- Familiarity with Debezium or similar CDC tools/technologies like Fivetran.
- Demonstrated use of AI-assisted development and operations