Über
ICE is seeking a talented Senior Data Engineer to join their Enterprise Architecture team. In this pivotal position, youll lead the design and implementation of scalable, self-service data pipelines with a strong emphasis on data quality and governance, while collaborating with key stakeholders to shape the data engineering practice.
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
Qualifications : Required : • 5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms • Demonstrated experience 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 : • 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 leveraging AI tools (e.g., GitHub Copilot, Cursor, Claude Code) to debug, develop unit tests and generate test cases from requirements documents • Experience with real-time data processing and streaming architectures • Familiarity with data modeling and warehouse design principles • Prior experience in a technical leadership role
Company :
We are building the largest jewelry marketplace. Founded in 1999, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.