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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Sr. Data Engineer SMTS in San Francisco, CA:

Job Duties: Design and Implement data pipelines, both batch and real time, that produce reliable data for various data consumption use cases. Be the subject matter expert for data, pipeline design, and other related big data and programming technologies. Proactively identify reliability and data quality problems and drive triaging and remediation processes. Partner with data producers in understanding data sources, enable data contracts and define the data model that drives analytics. Partner with Analysts and Data Scientists on delivering reliable data that powers actionable insights. Evaluate various technologies and platforms in open source and proprietary products. Execute proof of concept on new technology and tools to pick the best tools and solutions. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option. Some travel to Salesforce offices may be required.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or closely related quantitative discipline, and one (1) year of experience in job offered or in any occupation in a related field.

A related technical degree required (Computer Science, Engineering).

Special Skill Requirements: (1) Python (1 year); (2) SQL (1 year); (3) Cloud Technologies (AWS, GCP, or Azure) (1 year); (4) Apache Spark (or other big data processing frameworks) (1 year); (5) Data Warehousing Concepts; (6) ETL/ELT Tools; (7) Docker; (8) Kubernetes; (9) Git Version Control; (10) CI/CD pipelines. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Salesforce offices may be required.

Salary: $151,800.00 - $227,700.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 22-16028. Salesforce is an Equal Opportunity & Affirmative Action Employer.

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $151,800 to $227,700.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.