Data Engineer: Snowflake, Airflow & dbt for AI Finance

100 Salesforce, Inc.; Seattle (WA); On-site; USD 99,000 - 150,000; Full time

Job summary

Salesforce is seeking a Data Engineer to join the Finance Data Office to build and maintain data pipelines powering daily reporting, monthly close, and quarterly earnings. You’ll work with Snowflake, Airflow, and dbt, collaborating with senior engineers and business partners to deliver reliable datasets.

Ideal candidates have 5-7 years in data engineering/analytics, strong SQL, Python, and experience with dbt Cloud/DBT Core, Airflow, and Snowflake, plus a passion for AI tooling and data

Qualifications

• 5-7 years of hands-on data engineering or analytics experience.
• 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.

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

Curiosity about data

Cross-functional collaboration

AI/ML tooling awareness

Strong communication

Problem solving

Tools

SQL

Python

dbt Cloud

dbt Core

Airflow

Snowflake

GitHub

CI/CD pipelines

Job description

Salesforce is seeking a Data Engineer to join the Finance Data Office to build and maintain data pipelines powering daily reporting, monthly close, and quarterly earnings. You’ll work with Snowflake, Airflow, and dbt, collaborating with senior engineers and business partners to deliver reliable datasets.

Ideal candidates have 5-7 years in data engineering/analytics, strong SQL, Python, and experience with dbt Cloud/DBT Core, Airflow, and Snowflake, plus a passion for AI tooling and data