Salesforce, Inc.
* **Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.*** **5+ years of experience in data engineering, platform engineering, or MLOps roles.*** **Strong proficiency in Python and familiarity with distributed data frameworks such as Airflow, Spark or Flink.*** **Hands-on experience with feature store technologies (e.g., Feast, SageMaker Feature Store, Tecton, Databricks Feature Store, or custom implementations).*** **Experience with cloud data warehouse (e.g., snowflake) and transformation framework (e.g. dbt) for data modeling, transformation and feature computation in batch environment.*** **Expertise in streaming data platforms (e.g., Kafka, Kinesis, Flink) and real-time data processing architectures.*** **Experience with cloud environments (AWS preferred) and infrastructure-as-code tools (Terraform, CloudFormation).*** **Strong understanding of CI/CD automation, containerization (Docker, Kubernetes), and API-driven integration patterns.*** **Knowledge of data governance, lineage tracking, and feature lifecycle management best practices.*** **Excellent communication skills, a collaborative mindset, and a strong sense of ownership.*** **Experience with Salesforce Ecosystem*** **Open-source contributions or experience in feature store ecosystem development*** **Experience with unstructured databases(vector or graph databases) and RAG pipelines*** **Experience with context engineering includingstructuring data, prompts, and logic for AI systems, managing memory and external knowledge, etc**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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.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.
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