Data Engineer at Salesforce

Compensation · Listed in posting

$99,400 – $150,300/yr

Setup: Hybrid
Location: Seattle, Washington
Type: Full-time
Level: mid
Posted: Oct 1, 2026

Description

Salesforce is hiring a Data Engineer for its Finance Data Office to build, maintain, and improve data pipelines supporting finance reporting, monthly close, and quarterly earnings. The role involves Snowflake, Airflow, dbt Cloud, Python, data migration, source-data integration, pipeline testing, KPI validation, proof-of-concept evaluations, and enablement for finance data teams. Candidates need 5–7 years of data engineering or analytics experience, SQL proficiency, and experience with the listed data platforms and CI/CD tools.

Required Skills

SQL
Snowflake
Airflow
dbt Cloud
Python
CI/CD
GitHub
Data pipelines

Additional Information

Required Previous Experiences: 5–7 years of hands-on experience in data engineering or analytics
Experience with Python, dbt Cloud, dbt Core, Airflow, and Snowflake
Experience with CI/CD pipelines and GitHub
Preferred Qualifications: dbt certification
Familiarity with financial data sources
Experience building or supporting Tableau dashboards
Exposure to AI-assisted development tools
Familiarity with semantic layer concepts and knowledge graphs
Experience creating enablement materials or conducting technical training sessions
Structured problem-solving ability
Translation Company Name: 100 Salesforce, Inc.

About Salesforce

Salesforce

sustainability softwareSan Francisco, CA, US

Salesforce is an AI CRM platform that provides companies with unified applications powered by agentic AI and data. Its flexible, scalable platform lets customers start with sales, service, commerce, or marketing and add functionality as their business grows; customers only pay for what they use.

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