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IntercontinentalExchange · Atlanta, Georgia

# Senior Data Engineer

Atlanta, Georgia Full-time Senior individual contributor Data & Analytics 

Listed on IntercontinentalExchange’s official careers site. Posted September 11, 2026. Check that it is still open and apply there.
[Apply on IntercontinentalExchange’s careers site →](https://careers-ice.icims.com/jobs/13654/login)

[OpenNash Jobs](https://jobs.opennash.com/) / [IntercontinentalExchange](https://jobs.opennash.com/companies/intercontinentalexchange/) / Senior Data Engineer

## Job description

### Job Purpose

We're seeking a talented Senior Data Engineer to join our Enterprise Architecture team in a cross-cutting role that will help define and implement our next-generation data platform. In this pivotal position, you'll lead the design and implementation of scalable, self-service data pipelines with a strong emphasis on data quality and governance. This is an opportunity to shape our data engineering practice from the ground up, working directly with key stakeholders to build mission-critical ML and AI data workflows.

### Responsibilities
- Design, build, and maintain our on-premises data orchestration platform using the best-in-breed open source tools
- Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
- Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
- Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
- Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
- Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
- Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
- Mentor junior engineers and advocate for engineering excellence in data practices
- Knowledge and Experience At least a Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Mathematics, Engineering, or related disciplines. 5+ years of professional experience in data engineering, with at least
- 2 years working on enterprise-scale data platforms Deep expertise with orchestrating workflows, performance optimization, and operational management
- Strong understanding of data transformation techniques, including experience with testing frameworks and deployment strategies Experience with stream processing frameworks and technologies
- Proficiency with SQL and Python for data transformation and pipeline development
- Familiarity with containerized application deployment Experience implementing data quality frameworks and automated testing for data pipelines
- Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

### Preferred Qualifications

Experience with self-hosted data orchestration platforms (rather than managed services) Background in implementing data contracts or schema governance
- Knowledge of ML/AI data pipeline requirements and feature engineering Experience with real-time data processing and streaming architectures
- Familiarity with data modeling and warehouse design principles Prior experience in a technical leadership role #LI-HR1 #LI-ONSITE Intercontinental Exchange, Inc. is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

## At a glance
- Posted by the employer: Sep 11, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 37 days
- Location: Atlanta, Georgia
- Employment type: Full-time[Apply on IntercontinentalExchange’s careers site →](https://careers-ice.icims.com/jobs/13654/login)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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