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Data Engineer Salesforce Jobs (NOW HIRING)

InterSources

Data Engineer (Salesforce)

Menlo Park, CA · On-site

$134.90K - $162K/yr

Data Engineer (Salesforce) Job Location: Menlo Park, CA Job Type: Full-Time / Contract Responsibilities: * Reporting to the Sr. Manager of Data Engineering- Marketing Analytics, automating and ...

Syntricate Technologies

Salesforce Developer

Miami, FL · On-site

$53 - $70.25/hr

Minimum 9 years of customization experience as a Lead Software Engineer - Salesforce. * At least 3 ... Experience in designing solutions for large Salesforce data volumes. * Understanding of software ...

Simplus

AI Ops Engineer (Salesforce)

Hartford, CT · On-site

$56 - $74.25/hr

AI Ops Engineer (Salesforce) Project Delivery Services | Hartford, Connecticut We are seeking an AI ... Operate Salesforce Trust Layer and AI guardrails, including data masking, access boundaries, prompt ...

Twist BioScience

Sr Engineer - SFDC & Integrations

$128.50K - $157.10K/yr

Senior Engineer - SFDC & IntegrationsAbout the RoleWe are seeking an experienced Sr Engineer ... Proficient in system architecture, data modeling, and solution design.Familiarity with DevOps ...

AbbVie

Principal Engineer, Salesforce

North Chicago, IL · On-site

$124.50K/yr

Define and govern scalable data models, scalable workflow automation, secure integration patterns ... Experience with DevOps, CI/CD/CT practices, and Salesforce ecosystem delivery tooling to support ...

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All JobsData Engineer Salesforce Jobs

Data Engineer Salesforce information

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$44.5K

$129.7K

$177.5K

How much do data engineer salesforce jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineer salesforce in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer Salesforce, and why are they important?

To thrive as a Data Engineer Salesforce, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of the Salesforce platform, typically supported by a degree in computer science or a related field. Familiarity with Salesforce tools like Data Loader, Salesforce APIs, and certifications such as Salesforce Certified Data Architect or Salesforce Platform Developer are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication set outstanding professionals apart in this role. These skills ensure robust data integration, efficient system performance, and seamless collaboration across technical and business teams, which are critical for leveraging Salesforce data effectively.

How does a Data Engineer working with Salesforce typically collaborate with other teams within an organization?

As a Data Engineer specializing in Salesforce, you will frequently collaborate with cross-functional teams such as business analysts, Salesforce administrators, developers, and data scientists. Your main responsibilities involve designing, building, and optimizing data pipelines to ensure data from Salesforce is accurate, accessible, and secure for various stakeholders. Regular coordination with these teams is necessary to understand data requirements, troubleshoot integration issues, and support analytics initiatives. This collaborative environment helps ensure that business objectives are met efficiently and that data-driven decisions are well-supported.

What is a Data Engineer Salesforce?

A Data Engineer Salesforce is a professional who specializes in designing, building, and maintaining data pipelines and integrations specifically for Salesforce platforms. They ensure that data flows smoothly between Salesforce and other systems, enabling accurate analytics and reporting. These engineers often work with tools like Salesforce Data Loader, APIs, ETL platforms, and may also optimize Salesforce data storage. Their work is essential for organizations that rely on Salesforce for customer relationship management and need robust data infrastructure.

What is the difference between Data Engineer Salesforce vs Data Analyst Salesforce?

AspectData Engineer SalesforceData Analyst Salesforce
Required CredentialsBachelor's in CS, Data Engineering certifications, Salesforce certificationsBachelor's in Analytics, Business, or related field; Salesforce certifications
Work EnvironmentData pipelines, ETL processes, database management within Salesforce ecosystemData interpretation, reporting, dashboards, and visualization in Salesforce
Employer & Industry UsageTech companies, large enterprises using Salesforce for data infrastructureMarketing, sales, and business teams leveraging Salesforce analytics
Common Search & ComparisonYesYes

While Data Engineer Salesforce focuses on building and maintaining data pipelines and infrastructure within Salesforce, Data Analyst Salesforce specializes in analyzing data, creating reports, and providing insights. Both roles require Salesforce certifications and work within the Salesforce ecosystem, but their core responsibilities differ significantly.

What cities are hiring for Data Engineer Salesforce jobs? Cities with the most Data Engineer Salesforce job openings:
What states have the most Data Engineer Salesforce jobs? States with the most job openings for Data Engineer Salesforce jobs include:
Infographic showing various Data Engineer Salesforce job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 37% Part Time, and 3% Contract. Highlights an 41% Physical, 31% Hybrid, and 28% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer (Salesforce)

Data Engineer (Salesforce)

InterSources

Menlo Park, CA • On-site

$134.90K - $162K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer (Salesforce)

Job Location: Menlo Park, CA

Job Type: Full-Time / Contract

Responsibilities:

  • Reporting to the Sr. Manager of Data Engineering- Marketing Analytics, automating and providing data for marketing group at SFDC (optimizing marketing campaign performance)
  • Understand requirements and build social API's to extract/transform/load data as required and automate the process (from social media channels)
  • Lead by example - design, develop and deliver quality solutions.
  • You are passionate about crafting clean code and have a steady foundation in coding and building data pipeline.

Must-haves:

  • Bachelor's degree
  • 5+ years' experience coding in python
  • Extensive hands-on experience in designing and developing high volume web services using API Protocols and Data Formats (REST, JSON, SOAP & XML)
  • 5+ years SQL query writing and data understanding
  • Excellent experience working in distributed environments
  • Experience integrating with 3rd party APIs
  • Experienced with Git / GitHub
  • Experience implementing and managing Python open-source data tooling such as Airflow, DBT, SQL Alchemy, pandas, Jupyter.

Plusses:

  • Experience with social data such as LinkedIn, Twitter etc, and working with data (ETL, processing)
  • Salesforce experience

About us: Founded in 2007, InterSources Inc is a Small Business Enterprise (SBE), Minority Business Enterprise (MBE) & Women-Owned Small Business (WOSB) Certified Company specializing in providing IT Consulting, IT Staffing Solutions, and Software solutions. We have been recipients of Various Awards under "Fastest Growing IT Consulting and Software Company " and "Excellence in Technology Services "

InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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