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Software Engineering LMTS Data Engineer

Salesforce

2 Locations Hybrid permanent

Posted: March 10, 2026

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Quick Summary

Software Engineer with a strong passion for technology and customer success, with a proven track record of delivering complex projects on time, and excellent communication and problem-solving skills.

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Heroku team at Salesforce is seeking a Senior or Lead Data Engineer to design and scale automated data pipelines on AWS (Redshift, Kinesis) to power insights for Salesforce Data Cloud. You will be responsible for the end-to-end data lifecycle—from real-time ingestion via APIs and Eventbus to complex ETL processing and data modeling—ensuring high-quality data is available for Analytics and Data Science teams. By bridging the gap between business needs and technical architecture, you will play a critical role in automating data collection and delivering actionable recommendations for Salesforce’s enterprise and online business.

The ideal candidate brings 6+ years of experience with a mastery of SQL (PostgreSQL), Python, and orchestration tools like Airflow or Dagster. You should be a self-starter comfortable with ambiguity and possess the interpersonal skills to collaborate across internal tech teams. Experience with Salesforce Data Cloud, Heroku, or major ETL platforms like MuleSoft is highly preferred. Ultimately, this role is for a high-performing engineer who can deliver innovative, scalable solutions under tight deadlines while maintaining a team-first mentality.

Salesforce is on a mission to accelerate our own Digital Transformation to empower our customers and fuel our growth. A key part of this transformation is building robust data platforms and automated data pipelines to deliver data-driven insights and recommendations, especially for our Salesforce enterprise and online business, to empower growth of the platform.

The Heroku team is looking for a Data Engineer with experience building data pipelines and metrics for Sales or Marketing teams. You'll be a vital part of our team, helping us understand business needs and translating them into technical requirements. You'll work with data from various systems, design automated data pipelines, and drive insights for the Salesforce Data Cloud product. You'll also partner with internal tech teams to automate the data collection and definition process.

Your Impact:

• Design and own efficient, scalable data pipelines on AWS for collecting, transforming, and loading data from various sources.

• Lead end-to-end data management, including identifying key fields, data lineage, and integration.

• Perform data quality checks and present data insights on the Salesforce Data Cloud platform.

• Collaborate closely with Analytics and Data Science teams to meet their needs, using tools like Tableau to present data.

• Proactively communicate project status and identify potential risks.

Required Skills:

• 6+ years in a data engineering, data modeling, or analytics role.

• Deep understanding of data engineering concepts, database designs, associated tools, and system architecture.

• Hands-on experience with cloud services like AWS, specifically Amazon Redshift and Kinesis.

• Proficiency with PostgreSQL for database management and a strong command of SQL scripting and querying.

• Strong experience with complex ETL processes (MuleSoft, Jitterbit, Informatica, etc.).

• Proficiency with Python 

• Experience with orchestration tools like Apache Airflow or Dagster. 

• Proficiency with API-based and Eventbus real-time data ingestion.

Preferred Skills:

• Experience with Salesforce Data Cloud.

• Familiarity with the Heroku and Salesforce platforms.

• Familiarity with Ruby 

Who You Are:

• You have a team-first mentality and excellent interpersonal skills to build strong, collaborative relationships.

• You are a self-starter who is highly motivated and can quickly adapt when priorities change. You're comfortable moving forward without complete information and with minimal supervision.

• You think through problems to come up with innovative solutions and can deliver results under tight deadlines.

• You are focused on outcomes and driven to achieve goals.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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