Data Engineer

salesforce.com, 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 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

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.

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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $99,400 - $150,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.