Job Category
Software Engineering
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.
About the Role
The Digital Enterprise Technology team is seeking a highly motivated Member of Technical Staff (MTS) - Data Engineering & Analytics to build scalable data solutions, develop impactful analytics, and drive data-informed decision-making across the organization.
This role combines Data Engineering, Business Intelligence, and AI-driven analytics capabilities. The ideal candidate will have strong expertise in ETL development, Data Warehousing, Snowflake, Informatica, Tableau, and SQL, along with a passion for modern AI-powered and agentic technologies.
You will be responsible for designing data pipelines, transforming complex datasets into meaningful insights, and creating intuitive dashboards that help business stakeholders make informed decisions.
Key Responsibilities
Design, develop, and maintain scalable ETL pipelines using Informatica and modern data integration tools.
Build and optimize data solutions on Snowflake and enterprise Data Warehouse platforms.
Develop robust data transformation and data wrangling processes to support reporting and analytics requirements.
Create visually compelling and actionable Tableau dashboards, reports, and stories that drive business insights.
Partner with business stakeholders to understand reporting requirements and independently translate data into meaningful visualizations and analytics solutions.
Write and optimize complex SQL queries to extract, transform, and analyze large datasets from multiple sources.
Manage and support Tableau Server environments, including permissions, folder structures, schedules, subscriptions, and governance best practices.
Ensure data quality, consistency, and reliability across reporting and analytics platforms.
Collaborate with engineering, product, and business teams to establish scalable data models and reporting frameworks.
Leverage AI-assisted development tools and explore agentic technologies to improve data engineering and analytics productivity.
Contribute to AI-driven analytics initiatives, intelligent automation, and next-generation data solutions.
Required Qualifications & Experience
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
4+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, or Analytics Engineering.
Strong hands-on experience with:
Informatica PowerCenter or equivalent ETL tools
Snowflake
Enterprise Data Warehousing concepts
Data Modeling and Data Transformation
Advanced Tableau Desktop expertise, including:
Dashboard design and development
Advanced calculations
Parameters, LOD expressions, table calculations
Performance optimization
Latest Tableau features and capabilities
Strong knowledge of Tableau Prep or equivalent data preparation and transformation tools.
Experience administering Tableau Server, including:
Permissions and security models
Folder/project structures
Job scheduling
Dashboard subscriptions
Content governance
Advanced SQL skills with the ability to:
Write complex custom SQL queries
Optimize query performance
Work with large-scale datasets
Develop reusable reporting datasets
Ability to independently create dashboard and storytelling solutions without extensive wireframes or detailed guidance.
Strong understanding of reporting, analytics, data visualization, and business intelligence best practices.
Excellent analytical, problem-solving, and communication skills.
Preferred Skills & Qualifications
Experience with CRM Analytics (Tableau CRM / Einstein Analytics).
Experience with Salesforce data models and Salesforce platform reporting.
Exposure to modern cloud data platforms and big data technologies.
Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Gemini, or similar tools.
Understanding of Agentforce, AI agents, workflow orchestration, and AI-driven SDLC practices.
Experience applying AI techniques to data engineering, reporting, analytics, or operational automation.
Familiarity with Agile development methodologies and DevOps practices.
Experience building data products, executive dashboards, and enterprise-scale reporting solutions.
What Makes You Successful
Strong ETL and Data Engineering foundation.
Ability to convert complex datasets into compelling business insights.
Passion for data visualization and storytelling.
Curiosity to adopt AI-native engineering practices and agentic technologies.
Ability to work independently, take ownership, and deliver high-quality analytics solutions with minimal supervision.
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, and our AI agents accelerate your impact so you can. 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 .
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 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.
