Remote Reltio MDM Engineer - Data Mastery & Automation

Shrive Technologies LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Shrive Technologies LLC seeks a Reltio MDM Service Delivery Engineer (SME) to support and optimize the company's Master Data Management platform in a fully remote capacity within the United States. You will design, implement, and maintain data processing workflows, APIs, and data quality checks while ensuring high availability and governance.

Key duties include building DAG-based workflows (Airflow), writing complex SQL, developing Python solutions, and coordinating incident response and service

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 3–7+ years in MDM and data integration projects.
• Hands-on Reltio MDM implementation, support, or admin experience.
• Strong Python programming ability.
• Advanced SQL and relational database skills.
• Experience with DAG-based workflows and REST APIs.

Responsibilities

• Support and maintain the Reltio MDM platform and integrations.
• Design and optimize data processing workflows using Python and DAGs (Airflow).
• Develop complex SQL queries, data validation, and reporting.
• Build and troubleshoot REST APIs and system integrations.
• Monitor production environments and perform root cause analysis.
• Collaborate with stakeholders to support master data initiatives.
• Ensure data quality, governance, matching, survivorship, and hierarchy management.
• Manage releases, deployments, and environment support.
• Participate in incident, problem, and change management with SLAs.
• Create technical documentation and runbooks; pursue automation opportunities.

Skills

Reltio MDM

Python

SQL

Airflow

REST APIs

Data Governance

Incident Management

Production Support

Education

Bachelor's degree in Computer Science/Information Systems/Engineering or related field

Tools

Reltio MDM

Airflow

Job description

Shrive Technologies LLC seeks a Reltio MDM Service Delivery Engineer (SME) to support and optimize the company's Master Data Management platform in a fully remote capacity within the United States. You will design, implement, and maintain data processing workflows, APIs, and data quality checks while ensuring high availability and governance.

Key duties include building DAG-based workflows (Airflow), writing complex SQL, developing Python solutions, and coordinating incident response and service