Data Engineer, Sales

Company Info
Salesforce, Inc.
San Francisco, CA, United States

Phone: 415-901-7000
Web Site:

Company Profile


Data Engineer, Sales


San Francisco, CA 

Job ID:


Job Description:

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

Job Duties: Architect, design, implement and maintain data pipelines and data models enabling actional insights for Slack’s Sales and Corporate Systems key partners, data scientists, and data decision makers in the organization such as Sales, Customer Success, Marketing, and Finance. It requires the candidate to utilizing knowledge and expertise in Data Integration, Data Modeling, Optimization and Data Quality. Work cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model, as well as guaranteed compliance with data governance and data security requirements while creating, improving, and operationalizing these integrated and reusable data pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to-solution for Slack’s data and analytics initiatives. Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy, and enable self-service. Work on the overall strategy for data governance, security, privacy, quality, and retention that will satisfy business policies and requirements. Own and document data pipelines and data lineage, as well as identify, document, and promote best practices of Data Engineering at Slack. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, 50 Fremont Street, and 500 Howard Street. The permanent position may be offered at any of these locations in San Francisco. Full-time telecommuting permitted. 

Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Information Technology and Data Science for Business Analytics, Engineering (any) or a related quantitative discipline and three (3) years of work experience in the job offered or in data-engineering-related or business-analytics-related position.

A related technical degree required (Computer Science, Information Technology and Data Science for Business Analytics, Engineering (any)).

Special Skill Requirements: (1) Advanced SQL Programming; (2) Python; (3) Data Modeling; (4) Database & Data Warehouse Design; (5) ETL Development using tools such as Airflow, Alooma, Stitch, Segment; (6) Data Warehouses such as Redshift, Snowflake, MySQL; (7) AWS Services like S3, Aurora, DMS; (8) Dashboard/Report Development using Looker, Tableau; (9) Sales & Marketing platforms such as Salesforce Marketing cloud, Iterable, Swrve, Branch; (10) ERP and E-commerce platforms such as Netsuite, Shopify. Any suitable combination of education, training and/or experience is acceptable. Education, experience and criminal background checks will be conducted. Full-time telecommuting permitted.

Please submit resume via the Salesforce Career's webpage: at job Req. No. JR167542. Salesforce is an Equal Opportunity & Affirmative Action Employer. Education, experience and criminal background checks will be conducted.