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# Data Engineer & Agentic AI Lead

- **Company:** VACO LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $150,000
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Big Data, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Transformation, Database Queries, JSON, Operational Databases, Raw Data, Power BI, Parquet, Agentic-AI, Data Lakes, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://diversityjobs.com/career/18759506/Data-Engineer-Agentic-Ai-Lead-New-York-New-York

## About the Role

The ideal candidate is a strong data engineer at their core: someone who has personally built ETL/data pipelines, understands data transformation and modeling, and is comfortable working independently with complex datasets. This is not a reporting-focused or Data Analyst position., * Strong hands-on data engineering and ETL experience

 * Demonstrated experience personally designing and building production data pipelines
 * Strong SQL skills
 * Strong experience with data transformation and data modeling
 * Experience working with large, complex datasets from multiple sources
 * Ability to take messy or unstructured source data and turn it into clean, usable datasets
 * Experience working with data lakes, databases, and modern data architectures
 * Ability to translate business data requirements into scalable technical solutions
 * Comfortable working independently and owning projects from requirements through implementation

## Description

* Design, build, and maintain scalable end-to-end ETL/data pipelines
 * Ingest data from a variety of internal and external sources
 * Clean, transform, validate, and structure large volumes of raw data
 * Work with multiple data formats, including Excel, CSV, JSON, ORC, and Parquet
 * Load and organize transformed data within database and data lake environments
 * Design scalable data models based on business and analytical requirements
 * Build the underlying data and semantic layers used for reporting and analytics
 * Help develop and expand a centralized enterprise data platform
 * Work with datasets that can reach billions of rows
 * Prepare trusted, well-structured data for downstream use across Power BI, advanced analytics, and future AI applications
 * Partner with business and technical stakeholders to understand how data needs to be structured and consumed