Description

We are seeking an Associate Data Engineer to join the Finance Data Office team at Salesforce. This role supports Finance functions including F&S, RevOps, and others, contributing to data pipelines that power daily operational reporting, monthly close processes, and quarterly earnings reporting.

The ideal candidate has foundational SQL and data engineering skills with hands-on experience in Snowflake and dbt, and a desire to grow in a business-oriented data environment. You'll work closely with senior engineers and business partners to build, maintain, and improve key datasets.

Responsibilities:

• Support the maintenance and development of data pipelines in Snowflake and dbtCloud

• Assist in migrating Alteryx workflows to modern data engineering tools (dbt, Python, 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 (POC) 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

Minimum Qualifications:

• 2–4 years of hands-on experience in data engineering or analytics

• Proficiency in SQL (test will be administered)

• Experience with Python, dbt, and Snowflake

• Strong communication skills and ability to work cross-functionally

• Curiosity and passion for data and emerging technologies, including AI/ML tooling

Preferred Qualifications:

• dbtCloud Certification

• Familiarity with financial data sources (Workday, Coupa, Concur, Hyperion, SalesForce)

• Experience building or supporting Tableau dashboards

• Exposure to AI-assisted development tools (e.g., Claude, Cursor, Snowflake CoCo)

• Experience creating enablement materials or conducting technical training sessions

• Natural problem solver who thrives in ambiguous environments and brings a structured, solutions-oriented mindset to every challenge