Senior Full-Stack Engineer

Want to be part of the Energy Industry? ECLARO is looking for a Senior Full-Stack Engineer for our client in New York, NY. If you’re up to the challenge, then take a chance at this rewarding opportunity!

Position Overview

Seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data platforms that power enterprise analytics, machine learning, and AI-driven solutions. The ideal consultant will bring deep expertise in modern data engineering practices, cloud-native architectures, Lakehouse platforms, and distributed data processing technologies. This role will play a critical part in building reliable, high-performance data ecosystems leveraging Databricks, Spark, Delta Lake, Snowflake, Kafka, and AWS, while also contributing to the adoption of Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI-assisted engineering solutions.

Ideal Consultant Profile

A Senior-Level Data Engineer with extensive experience in Databricks, Spark, AWS, Kafka, Snowflake, and Lakehouse architectures, who is equally passionate about modern AI technologies and building intelligent data platforms for the future.

Responsibilities

• Data Platform Engineering: Design, build, and maintain scalable batch and real-time data pipelines. Develop and optimize data ingestion, transformation, and processing frameworks for structured, semi-structured, and unstructured datasets. Implement modern Lakehouse architectures utilizing Databricks, Delta Lake, and Medallion (Bronze, Silver, Gold) design patterns. Build data solutions that support enterprise analytics, reporting, and machine learning initiatives. Ensure data quality, governance, lineage, security, and compliance across data ecosystems.