Associate Data Engineer

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Job Category
Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.

Accommodations

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Posting Statement

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