Data Engineer – AI-Driven Financial Data Pipelines

salesforce.com, inc.

Seattle (WA)

On-site

USD 99,000 - 150,000

Full time

4 days ago
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Job summary

Salesforce is seeking a Data Engineer to join the Finance Data Office team at Salesforce. This role supports Finance functions including Finance & Strategy, Revenue Operations, and others, contributing to data pipelines that power daily operational reporting, monthly close processes, and quarterly earnings reporting.

The candidate will work with Snowflake, Airflow and dbt Cloud to build and maintain ELT pipelines, migrate legacy processes, and collaborate with stakeholders to define KPIs and

Qualifications

  • 5-7 years of hands-on experience in data engineering or analytics.
  • Proficiency in SQL (test will be administered).
  • Experience with Python, dbt Cloud, and dbt Core, Airflow and Snowflake.
  • Experience with CI/CD pipelines and GitHub.
  • Curiosity and passion for data and emerging technologies, including AI/ML tooling.
  • Strong communication skills and ability to work cross-functionally.

Responsibilities

  • Support the maintenance and development of data pipelines in Snowflake, Airflow and dbt Cloud.
  • Assist in migrating legacy data processes to modern data engineering tools (dbt, Python, Airflow, Informatica).
  • Help land and wrangle datasets from sources including Salesforce, Coupa, Workday, and Concur.
  • Conduct testing and auditing of ELT pipelines to improve accuracy and efficiency.
  • Translate business requests into documented data requirements.
  • Collaborate with stakeholders to define KPIs and validate data results.
  • Conduct proof of concept evaluations of emerging AI and data platform tools to assess feasibility and business value.
  • Partner with Finance data teams to enable adoption of new tools and technologies through training, documentation, and hands-on support.
  • Establish and promote best practices for tool usage, data development standards, and data platform governance across the Finance data organization.

Skills

SQL
Python
AI/ML tooling
Cross-functional collaboration
Strong communication

Tools

dbt Cloud
dbt Core
Airflow
Snowflake
GitHub
Informatica
Tableau

Job description

Salesforce is seeking a Data Engineer to join the Finance Data Office team at Salesforce. This role supports Finance functions including Finance & Strategy, Revenue Operations, and others, contributing to data pipelines that power daily operational reporting, monthly close processes, and quarterly earnings reporting.

The candidate will work with Snowflake, Airflow and dbt Cloud to build and maintain ELT pipelines, migrate legacy processes, and collaborate with stakeholders to define KPIs and

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