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Open nowPosted 41 days ago

Senior Data Engineer

ICE289 open roles

Where
Atlanta, Georgia, United States
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Your applicationOpen nowSenior Data EngineerICE · Atlanta, Georgia, United States

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. ICE postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 41 days ago

ICE median: 1 days open

The posting

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.

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