Jobs → Data & Analytics → Data Engineer

About the Role We are looking for an experienced Senior Data Engineer / Data Architect with strong expertise in Python, Airflow, data engineering, and AI/ML to build intelligent, agent-driven data enrichment solutions and modern data pipelines. Key Responsibilities • Build agentic capabilities to improve operational efficiency in how third-party data is ingested and consumed by internal stakeholders • Manage data egress from Data 360 to destination systems, including Salesforce's main CRM, as directed by stakeholders • Conduct deep discovery on a top-priority agentic use case targeting operational efficiency improvements and deliver an initial Proof of Concept (POC) Requirements • Strong experience in data engineering, ETL (preferably Informatica), and data architecture • Experience working with Salesforce platforms and data models • Hands-on experience with Airflow • Strong SQL skills with Snowflake and other relational databases • Experience writing complex Python modules for custom ETL workflows • Expertise in building batch and real-time data pipelines • Experience with dbt for data transformation and modeling • Familiarity with AWS/GCP and distributed/event-driven architectures • Strong understanding of data modeling, data warehousing, and big data processing • Experience with data quality, monitoring, and pipeline orchestration frameworks • Strong Python experience for AI application development • Experience working with LLM APIs (OpenAI, Anthropic, Gemini) and prompt engineering beyond basic demos • Experience with agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, or similar • Familarity with vector databases (Pinecone, Chroma, Milvus) and RAG pipelines