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# Data Engineer (SMTS / LMTS) - MDM

- **Company:** Salesforce Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Code Review, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Cursor (Graphical User Interface Elements), Programming Tools, Distributed Computing Environment, Standard Sql, Salesforce.Com, Software Engineering, Enterprise Application Integration, GitHub Copilot, Generative AI, Event Driven Architecture, Apache Kafka, Data Management, Restful APIs, Data Pipelines, Mulesoft, Microservices
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-engineer-smts-lmts-mdm-new-york-ny-usa-58912204

## About the Role

and * Integrate with third-party data providers (Dun & Bradstreet, Moody's, Leadspace) for enrichment and hierarchy management * Ensure production-grade quality with monitoring, security-by-design, and operational excellence * Drive AI-assisted software engineering adoption to improve productivity and delivery speed * Participate in design reviews, code reviews, and release activities * Troubleshoot production issues and implement scalable solutions * Collaborate with globally distributed teams across time zones * LMTS additional: define technical strategy for MDM domains and lead cross-functional engineering standards * LMTS additional: provide technical leadership across internal teams and partner with stakeholders to align architecture with business priorities Tasks * 8+ years (SMTS) or 10+ years (LMTS) in software/data engineering, integration, or MDM * Experience leveraging AI-assisted development platforms (Claude, Cursor, Windsurf, GitHub Copilot) * Strong understanding of aaaaaaa
MDM AI in software engineering contexts * Hands-on Java, REST APIs, microservices, and enterprise integration patterns * Experience with MuleSoft, API orchestration, Airflow, ETL/ELT, and large-scale data engineering * Experience with Kafka or similar event-streaming tech, CDC, and event-driven architectures * Cloud experience (AWS, GCP, or Azure) and cloud-native development * Strong SQL, data modeling, and distributed data processing knowledge * Excellent communication and collaboration skills * Related technical degree (implied) Key requirements * medical, dental, vision * mental health support * paid parental leave * 401(k) and stock purchase program * life and disability insurance * flexible benefits details available

## Description

Experteer Overview You will help design, build, and operate AI-powered MDM capabilities at Salesforce, shaping how data entities are identified, enriched, and governed across a global ecosystem. You'll work within the MDM Engineering team to deliver scalable data integration, entity resolution, and hierarchy management, leveraging AI tools to boost developer productivity. This role blends hands-on engineering with architectural leadership to drive end-to-end data platforms and governance. You'll collaborate with product, data governance, and systems teams to deliver impactful data-driven solutions in a fast-paced environment. Compensation / Benefits * Design and maintain end-to-end MDM integration systems and AI-powered developer tools * Implement entity resolution, golden record lifecycle, and hierarchy processing * Build and optimize data models, APIs, and integration patterns for MDM requirements * Develop and operate data pipelines (Airflow, ETL/ELT, CDC) and API orchestration layers * Integrate with third-party data providers (Dun & Bradstreet, Moody's, Leadspace) for enrichment and hierarchy management * Ensure production-grade quality with monitoring, security-by-design, and operational excellence * Drive AI-assisted software engineering adoption to improve productivity and delivery speed * Participate in design reviews, code reviews, and release activities * Troubleshoot production issues and implement scalable solutions * Collaborate with globally distributed teams across time zones * LMTS additional: define technical strategy for MDM domains and lead cross-functional engineering standards * LMTS additional: provide technical leadership across internal teams and partner with stakeholders to align architecture with business priorities Tasks * 8+ years (SMTS) or 10+ years (LMTS) in software/data engineering, integration, or MDM * Experience leveraging AI-assisted development platforms (Claude, Cursor, Windsurf, GitHub Copilot) * Strong understanding of Generative AI in software engineering contexts * Hands-on Java, REST APIs, microservices, and enterprise integration patterns * Experience with MuleSoft, API orchestration, Airflow, ETL/ELT, and large-scale data engineering * Experience with Kafka or similar event-streaming tech, CDC, and event-driven architectures * Cloud experience (AWS, GCP, or Azure) and cloud-native development * Strong SQL, data modeling, and distributed data processing knowledge * Excellent communication and collaboration skills * Related technical degree (implied) Key requirements * medical, dental, vision * mental health support * paid parental leave * 401(k) and stock purchase program * life and disability insurance * flexible benefits details available


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