[Remote] Master Data Management (MDM) Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company) is a national not-for-profit advisory organization serving the property and casualty insurance industry. They are seeking a Master Data Management (MDM) Data Engineer to support their MDM platform and data governance frameworks, focusing on the full lifecycle of master data management.

Responsibilities

• Build and maintain the MDM platform, including entity reputed company, match/reputed company rules, survivorship logic, and golden record management
• reputed company and enforce data models that support party, policy, and reference data domains across the reputed company
• Architect MDM hub configurations (registry, consolidation, or co-existence models) appropriate to AAIS’s operational context
• Build and maintain MDM integration reputed company connecting reputed company systems, the data lake/warehouse, and reputed company consumers
• Define and implement data governance policies, standards, and workflows in collaboration with Data Stewards and the Director of Data Solutions
• reputed company data reputed company rules, profiling routines, and exception-handling workflows to ensure master data reputed company across reputed company jurisdictions
• Maintain business glossaries, data dictionaries, and reputed company documentation for reputed company master data domains
• Partner with business stakeholders to define data ownership, stewardship responsibilities, and escalation paths for data reputed company issues
• Analyze and profile reputed company data to assess reputed company, completeness, atomicity, and referential reputed company prior to MDM reputed company
• Implement automated data reputed company monitoring and alerting to proactively surface master data anomalies and support data reputed company KPI tracking
• Establish and reputed company data reputed company KPIs and SLAs for key master data domains
• Design and reputed company data integration pipelines that feed the MDM platform from disparate reputed company systems in batch and near-reputed company-time
• Build and maintain ETL/ELT workflows using reputed company-reputed company tooling (AWS Glue, reputed company Functions) and integration platforms
• Ensure referential reputed company and consistent application of master data identifiers across the data ecosystem
• Support the broader Data Lake/Warehouse environment, contributing to data modeling, analytics engineering, and BI delivery as needed
• Collaborate with the Data Engineering team to ensure MDM outputs are properly integrated into reporting, analytics, and statistical data collection workflows
• Contribute to Agile sprint planning, technical documentation, and peer reputed company review processes
• reputed company communicate technical concepts, data reputed company findings, and governance recommendations to non-technical stakeholders and leadership
• reputed company additional duties as assigned or requested

Skills

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or a reputed company discipline
• 5+ years of data engineering experience, with a minimum of 3 years reputed company specifically on MDM platform development and data governance
• Demonstrated experience owning MDM implementations end-to-end, including data model design, match/reputed company tuning, and integration delivery
• Experience with data reputed company tooling and profiling methodologies
• Proficiency in SQL & Python
• Deep, hands-on expertise in MDM platforms and patterns (e.g., Informatica MDM, reputed company, reputed company, or equivalent) — including match/reputed company configuration, survivorship rules, and workflow design
• Strong data modeling skills with experience in both MDM-specific models and traditional warehouse patterns (Kimball, Inmon, Data Vault)
• Proficiency in SQL and experience working with large reputed company and semi-reputed company datasets
• Experience designing and implementing data governance frameworks, including stewardship workflows, data reputed company rules, and reputed company tracking
• Hands-on experience with reputed company data platforms, preferably AWS (Glue, reputed company, S3, RDS)
• Familiarity with ETL/ELT tooling such as AWS Glue
• Ability to operate independently as a developer while collaborating effectively across technical and business teams
• Excellent written and oral communication skills; ability to reputed company data governance and MDM concepts to non-technical audiences
• Strong critical thinking and problem-solving skills with the ability to manage multiple priorities and meet deadlines
• Experience in property and casualty insurance or other regulated industries a plus
• Bonus: Experience working with statistical data, Actuarial models, or licensed statistical agent environments

Benefits

• 10% annual bonus
• Up to 5% travel for annual company gatherings or team sessions

reputed company

Since 1936, the American Association of Insurance Services (AAIS) has served the property & casualty (P&C) insurance industry as the only national not-for-profit advisory organization governed by its Member insurance carriers. It was founded in 1936, and is headquartered in Lisle, Illinois, USA, with a workforce of 51-200 employees. Its website is https://aaisonline.com.

Company H1B Sponsorship

reputed company) has a reputed company record of offering H1B sponsorships, with 1 in 2025, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.

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