Data Engineer - Health Tech-2

To improve your candidate experience, please consider applying for a maximum of 3 roles within 12 months to avoid duplicating efforts. Job Category: Software Engineering Job Details: About Salesforce: We're Salesforce, the Customer Company, inspiring the future of business with AI and Data with CRM. We lead with our core values, helping companies in every industry to break new ground and connect with customers in innovative ways. We empower you to become a Trailblazer, driving your performance and career growth, paving new paths, and enhancing the state of the world. If you believe in businesses being platforms for change and companies doing well by doing good, you've come to the right place. Org Overview: The Data and Analytics Organization (DnA) is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. We provide data pioneers with unbiased support, offering robust governance to strategic execution. Our Enterprise Data Strategy builds a strong data foundation, fostering a culture of data-driven decisions. We ensure quality throughout a cohesive data supply chain by deploying and integrating platform tools. This enables seamless data access and automated data management driving efficiency and growth with actionable insights. As a firm partner, we cultivate a data ecosystem that fuels innovation. Our commitment to integrity and accessibility propels informed decision-making, pushing Salesforce to new heights of excellence. Team Overview: Technical Scoring and Analytics Team: We improve our customers' Salesforce experience by empowering builders with data to optimize and improve the technical performance of Salesforce products. Our scope includes the Technical Health Score (part of Customer Success Scorecard) and monitoring or optimizing the experienced page load time for our customers' Salesforce pages. Success in the Role: If you've effectively collaborated with cross-functional teams, absorbed their data needs, and successfully delivered on your assigned initiatives, this role is for you. You should demonstrate ownership of assigned initiatives, supporting senior members in building and maintaining data pipelines. A desire to grow, improving yourself in data collection, storage, and management strategies, and a passion for data analysis to derive actionable insights from data trends will be beneficial. Skills Required: - Proficiency in SQL and familiarity with Python, Java, or Scala. - Understanding of ETL/ELT processes. - Knowledge of Spark, Hadoop, or Kafka is advantageous. - Strong problem solving skills with a focus on data quality and management. - Knowledge of version control systems and CI/CD practices. - Openness to learning, adapting, and contributing to best practices. - Effective communication skills for technical and non-technical stakeholders. Minimum Requirements: - B.S/M.S. in Computer Sciences or related field. - 2-5 years of demonstrated experience in data engineering. Preferred: - Knowledge of Salesforce products or related CRM systems. - Experience working with AWS, GCP, or other prominent cloud providers. - Familiarity with advanced debugging techniques and performance tuning. Accommodations: If you require assistance due to a disability when 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 the world. We strive to create a workforce that reflects society through inclusive programs and initiatives. Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. All 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 without a signed agreement. Salesforce welcomes all.