Lead, Data Engineer - Technical Scoring and Analytics

For the best candidate experience, it is recommended to apply for a maximum of 3 roles within 12 months to avoid duplication of efforts. Job Category: Software Engineering Job Details About Salesforce: We are Salesforce, the Customer Company, which inspires the future of business with AI, data, and CRM. Guided by our core values, we help companies of every industry blaze new trails and interact with customers in a whole new way. We empower you to be a Trailblazer, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the best platform for change and want companies to do well by doing good, you've come to the right place. Org Overview: The Data and Analytics Organization (DnA) is Salesforce's foundation for promoting growth and margins through unparalleled data insights. Our Enterprise Data Strategy builds a solid data foundation and encourages data-driven decisions. We ensure quality throughout by maintaining a cohesive data supply chain, allowing seamless data access and automated data management by utilizing platform tools. We are a reliable partner that helps build a data ecosystem fueling innovation. Our commitment to integrity and accessibility pushes informed decision-making, propelling Salesforce to higher levels of excellence. Technical Scoring and Analytics Team: Our team enhances customer experiences with Salesforce by providing data that helps optimize and improve the technical performance of Salesforce products. As an engineer on our team, you will be responsible for maintaining and expanding the data that feeds our scores and analytical frameworks. Success in the Role will be: Building trust with the teams you work with by creating scalable, efficient, and robust data pipelines, reflecting a deep understanding and application of best practices in data modeling and ETL/ELT processes. Your contribution to version control and CI/CD systems will improve deployment frequencies and reduce integration issues. Skills for Success: - Deep proficiency in SQL and experience in Python, Java, or Scala - Expertise in building scalable data pipelines using best practices in data modeling and ETL/ELT processes - Proficiency in technologies like Spark, Trino, Snowflake, and experience with cloud ecosystems like AWS or GCP Minimum Requirements: - B.S/M.S. in Computer Sciences or equivalent field - 4-6 years of demonstrated experience in data engineering Preferred: - Familiarity with Salesforce products or related CRM systems - Experience with cloud platforms such as AWS, GCP, or any other prominent cloud provider. - Experience with advanced debugging techniques and performance tuning. Accommodations: If you require assistance because of a disability in applying for open positions, please submit a request via our Accommodations Request Form. Posting Statement: At Salesforce, we believe that the business of business is to improve the state of our world. We are committed to creating a workforce that reflects society through inclusive programs and initiatives. For more about Equality at Salesforce, visit www.equality.com and explore our benefits at www.salesforcebenefits.com. Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception, or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Salesforce. Salesforce welcomes everyone.