Data Engineer

Relha LLC; Seattle, Northern (WA, KY); Hybrid; USD 99,000 - 150,000; Full time

Job summary

Salesforce is seeking a Data Engineer to join the Finance Data Office team, supporting data pipelines for daily operational reporting and monthly close processes.

You'll work with Snowflake, Airflow, and dbt Cloud, translate business requests into data requirements, and collaborate with finance partners to enable adoption of new tools and governance across the data organization.

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-functional.

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

dbt Cloud

dbt Core

Airflow

Snowflake

CI/CD pipelines

GitHub

AI/ML tooling

Cross-functional collaboration

Tools

dbt Cloud

dbt Core

Airflow

Snowflake

Job description

Job Category

Data

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)
• - 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

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. Know your rights: workplace discrimination is illegal. 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.