Data Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. 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 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 ideal candidate has foundational SQL and data engineering skills with hands-on experience in Snowflake, Airflow, 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, 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 Minimum 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 Preferred Qualifications: - dbt 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) - Familiarity with semantic layer concepts and knowledge graphs - 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 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request