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Overnight Salesforce Data Scientist Jobs (NOW HIRING)

Salesforce, Inc.

Senior Data Scientist (SMTS)

Mclean, VA · On-site

The Team The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an ... experienced, driven, and creative Senior Data Scientist to join the team. We explore, invent, build ...

VivSoft Technologies LLC

Data Architect

Herndon, VA · On-site

$65.50 - $84.25/hr

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field * 8-12+ years of data engineering/science experience; 3-5+ directly with Salesforce architecture * Demonstrated ...

STI

Data Scientist

Hartford, CT · On-site

... Salesforce • Engaging in data experiments to provide cross-persona or enterprise analysis • ... science • 2 years of user research and feedback analysis • 2 years of data governance and ...

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How much do overnight salesforce data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for overnight salesforce data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
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Overnight Salesforce Data Scientist jobs near you

Senior Salesforce Solutions Lead/Salesforce Engineering Manager

VDart, Inc.

Juno Beach, FL • On-site

$122K - $150K/yr

Other

Posted 11 days ago

Job description

We are seeking an experienced Salesforce Technical Lead to lead the design, development, integration, and delivery of enterprise Salesforce solutions. The ideal candidate will have deep expertise in Salesforce development, enterprise integrations, data migration, DevOps, and AI-enabled software delivery. This role provides technical leadership across Salesforce platform initiatives while mentoring development teams and driving best practices in architecture, governance, and Agile delivery.

Key Responsibilities
  • Lead the design and implementation of scalable Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, and custom applications.
  • Provide technical leadership and establish development standards, architecture best practices, and CI/CD processes.
  • Perform architecture reviews, code reviews, and technical mentoring for development teams.
  • Design and implement enterprise integrations using MuleSoft, REST/SOAP APIs, Platform Events, and event-driven architectures.
  • Lead Salesforce integration efforts with enterprise applications and legacy systems.
  • Drive Salesforce data architecture, data modeling, governance, and migration initiatives.
  • Manage large-scale data migration, transformation, validation, reconciliation, and deployment activities.
  • Utilize Generative AI and AI-assisted development tools to improve development productivity and software quality.
  • Implement Salesforce Einstein AI, Agentforce, and AI-powered automation solutions.
  • Ensure compliance with Salesforce security, governance, user access, and regulatory requirements.
  • Collaborate with business stakeholders, architects, QA teams, and product owners throughout the project lifecycle.
  • Lead Agile development activities including sprint planning, backlog refinement, and release planning.
  • Mentor onshore and offshore Salesforce developers while promoting engineering best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of Salesforce development experience with technical leadership responsibilities.
  • Strong expertise in Apex, Lightning Web Components (LWC), Salesforce Flows, SOQL, and SOSL.
  • Experience with MuleSoft or enterprise integration platforms.
  • Hands-on experience designing REST/SOAP APIs and event-driven integrations.
  • Strong knowledge of Salesforce DX, Git, CI/CD pipelines, and DevOps practices.
  • Experience leading Salesforce data migration and ETL projects.
  • Experience with Salesforce Experience Cloud and Service Cloud.
  • Active Salesforce Platform Developer II certification.
  • Excellent communication, leadership, and problem-solving skills.
Preferred Qualifications
  • Salesforce Integration Architecture Designer or Data Architecture Designer certification.
  • MuleSoft Certified Developer or Integration Associate certification.
  • Experience with Salesforce Data Cloud, Einstein AI, and Agentforce.
  • Experience using AI-assisted development tools such as GitHub Copilot, Windsurf, Devin, or similar platforms.
  • Experience in Energy, Utilities, or other regulated industries.
  • Knowledge of enterprise content management systems such as Documentum.
  • Experience managing global or offshore development teams.

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