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# Senior Data Engineer, AI/ML Engineer (Agentic)

- **Company:** TMS LLC
- **Location:** Edison, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $105,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Database Queries, Python (Programming Language), Salesforce.Com, Systems Integration, Apex Code, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Event Driven Architecture, Deployment Automation, Data Pipelines, Mulesoft
- **Published:** May 16, 2026
- **Apply:** https://www.careerjet.com/jobad/usa667d4cb867369e35c319c5ca2775b78

## About the Role

* Strong experience in data engineering, ETL (preferably Informatica), and data architecture
 * Experience working with Salesforce platforms and data models
 * Hands-on experience with Airflow and MuleSoft
 * 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
 * Familiarity with vector databases (Pinecone, Chroma, Milvus) and RAG pipelines
 * Systems thinking: ability to decompose complex goals into sub-tasks and manage agentic behavior

Preferred Skills

 * Experience with 3+ step workflow automation (e.g., autonomous research, DevOps automation, IT troubleshooting)
 * Proficiency in Model Context Protocol (MCP) integrations
 * Experience with multi-agent systems and multi-modal agents (processing images, documents)
 * Experience working on Salesforce Flows and Apex

## Description

* 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, Roles: Senior Data Engineer, Data Modeler / Architect Location: Remote Duration: 6+ Months Scope of Work Collaborate with the Data Modeler team to model and map data as req…
 + 1 day ago
 + Apply easily, Roles: Senior Data Engineer Location: Remote Duration: 6+ Months Scope of Work Manage all new data ingestions for UKS operational needs Build new data integrations for all…
 + 1 day ago
 + Apply easily


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