Salesforce is hiring for a skilled Data Engineer (Member of Technical Staff) to build and manage data pipelines that enable data-driven decision-making in our Marketing organization. This hybrid position is available in San Francisco, Seattle, or Indianapolis. You will work with multiple business units and data sources, implementing modern data platforms that support Salesforce’s growth and AI-powered analytics.
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- Company: Salesforce
- Location: San Francisco, CA; Seattle, WA; Indianapolis, IN (Hybrid – Office Tech-Flexible)
- Job Type: Full-Time
- Job Requisition ID: JR306047
- Salary: $125.7K/ yr – $188.6K/ yr
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines and data integrations.
- Collaborate with stakeholders and data scientists to gather requirements and build data solutions.
- Develop robust data models and databases (SQL and NoSQL).
- Implement data governance standards including data quality and integrity.
- Support real-time and batch data ingestion using APIs and Airflow.
- Work with cloud technologies (AWS, GCP, Azure) and Salesforce Data Cloud.
- Monitor data pipeline performance and troubleshoot issues proactively.
Required Skills & Experience
- 2–4 years of experience in data engineering, ETL, analytics, or automation roles.
- Bachelor’s degree in a technical field (Computer Science, Engineering, etc.)
- Strong SQL, Bash, and Python scripting skills.
- Proficiency with data orchestration tools like Airflow.
- Experience working with APIs and real-time data ingestion.
- Familiarity with Salesforce components like flows.
- Strong team-oriented mindset and proactive communication skills.
Preferred Qualifications
- Hands-on experience with ETL tools (Mulesoft, Jitterbit, Informatica, etc.)
- Experience collaborating with data science and marketing teams.
- Ability to work independently with limited supervision and drive initiatives forward.
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