Data Engineer (SMTS / LMTS) - MDM

Salesforce

Remote

Quick summary

Work type: Remote
Location: San Francisco, CANew York, NYSeattle, WAIndianapolis, IN
Salary: $148,500–$260,100 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $204k

$125k most similar roles pay here $275k

This role pays more than 69% of similar roles. Most pay $139,104–$211,200 — the shaded band above. At the midpoint, this role pays about $204k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 127 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 107 roles with salary data.

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At a glance

TL;DR · Data Engineer (SMTS / LMTS) - MDM

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Join Salesforce’s MDM Engineering team as a Senior Member of Technical Staff (SMTS) or Lead Member of Technical Staff (LMTS), where you will design and develop AI-powered tools, engineering automation, and productivity accelerators using platforms like Claude, Cursor, Windsurf, and GitHub Copilot. You’ll build end-to-end MDM integration systems with MuleSoft, Airflow workflows, API orchestration layers, and event-driven architectures while implementing entity resolution, golden record management, hierarchy processing, and data quality validation. The role involves collaborating with globally distributed teams to drive technical strategy, architect scalable platforms, and ensure operational excellence, requiring expertise in Java, REST APIs, microservices, cloud services, SQL, and data modeling. Ideal candidates have extensive experience in MDM, enterprise integration, and AI-assisted development, along with a strong track record of improving engineering productivity through automation and tooling.

Skills

Java REST APIs microservices MuleSoft Airflow Kafka AWS SQL Informatica SaaS MDM Claude Cursor GitHub Copilot Python Salesforce Data Cloud Dun & Bradstreet Moody's Leadspace RAG vector databases MCP frameworks CI/CD

What you'll do

Design and develop AI-powered developer tools to enhance engineering productivity.
Build and maintain end-to-end MDM integration systems using modern technologies.
Implement entity resolution, golden record management, and data quality validation.
Architect scalable and secure production-grade solutions with strong monitoring.
Drive technical strategy and provide leadership in cross-functional teams.

What we're looking for

8+ years of software engineering experience with a focus on data engineering and MDM platforms.
Proven hands-on experience with modern AI-assisted development tools like Claude, Cursor, GitHub Copilot.
Strong expertise in building and maintaining complex integration systems using technologies such as MuleSoft, Airflow, Kafka.
Deep understanding of MDM concepts including entity resolution, golden record management, data quality governance.
Experience designing scalable, production-grade solutions with robust monitoring, alerting, and security features.
Demonstrated ability to lead technical strategy and cross-functional teams in architecting end-to-end MDM systems.

Data Engineer - Manager

PWC

Atlanta, GA +4 10 days ago $99,000–$232,000

AWS Azure GCP Terraform Python Java Scala SQL Hadoop Spark Kafka CI/CD DevOps DataLake ETL ELT DynamoDB Snowflake Databricks IAM CloudFormation Resource Manager templates Infrastructure as Code

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