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Release Train Engineer (Remote)

Job

Tandym Group

Remote

Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 7/11/2026

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Job Description

An enterprise financial services organization is seeking a Release Train Engineer in a remote opportunity. This role will support Agile delivery for large-scale HR data modernization initiatives, coordinating cross-functional teams across data engineering, analytics, governance, and reporting.  About the
Opportunity:
Schedule:
Monday -
Friday Hours:
Standard business hours
Setting:
Remote Responsibilities:
Lead the Agile Release Train supporting HR data warehouse initiatives Facilitate Agile ceremonies, including standups, sprint planning, retrospectives, demos, and PI Planning Coordinate cross-functional teams through Scrum of Scrums and dependency management activities Partner with Product Owners to refine priorities and maintain backlog readiness Track delivery progress, manage risks and impediments, and communicate timelines and status updates
Qualifications:
5+ years of experience as a Scrum Master, Release Train Engineer, Agile Delivery Lead, or in a related role Bachelor's degree in Information Technology, Computer Science, Business, or a related field Certified Scrum Master (CSM), SAFe Advanced Scrum Master, or a similar Agile certification Strong experience with Agile, Scrum, and SAFe methodologies Experience facilitating PI Planning, Scrum of Scrums, and multi-team Agile delivery Experience managing enterprise-scale projects involving data, analytics, or cloud platforms Strong understanding of backlog management, release planning, and dependency tracking Excellent communication and stakeholder management skills Strong organizational and problem-solving abilities Ability to influence teams and drive alignment without direct authority
Desired Skills:
Experience supporting Azure-based data warehouses, data lakes, or analytics platforms SAFe Release Train Engineer (RTE) certification PMI-ACP certification Experience working with Oracle HCM and HR data ecosystems Experience supporting data engineering, analytics, governance, and integration teams Familiarity with AI, reporting, and enterprise data modernization initiatives