Senior Full-Stack Engineer

Job-ID Reference Remote50% RemoteSenior Full-Stack EngineerJob Number: Want to be part of the Energy Industry? ECLARO is looking for a Senior Full-Stack Engineer for our client in New York, NY.
ECLARO's client operates one of the world's largest energy delivery systems, constantly at the forefront of innovations in developing technology. 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.Big Data & Streaming Solutions:Develop distributed data processing applications using PySpark and Spark SQL.Build and maintain streaming pipelines using Kafka, Spark Structured Streaming, and AWS Kinesis.Design fault-tolerant, scalable systems capable of processing large data volumes with low latency.Optimize workload performance through partitioning strategies, clustering, caching, and query tuning.Cloud & Lakehouse Architecture:Architect and implement cloud-based data solutions on AWS.Utilize AWS services including S3, EMR, EC2, Athena, Redshift, RDS, Lambda, IAM, SNS, and SQS.Design data storage and processing strategies that maximize reliability while minimizing operational costs.Support migration initiatives from traditional Hadoop and EMR environments to modern cloud-native platforms.Data Operations & Automation:Develop orchestration and scheduling frameworks using Airflow and Databricks Workflows.Build CI / CD pipelines and automation frameworks for deployment, monitoring, and data platform operations.Collaborate closely with architects, analysts, data scientists, and business stakeholders to deliver enterprise-grade solutions.AI & Intelligent Platform Engineering:Implement Generative AI-powered solutions for engineering productivity and operational excellence.Develop applications leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Databases, and Model Context Protocol (MCP).Build AI-assisted documentation, developer productivity tooling, and intelligent platform capabilities.Evaluate emerging AI technologies and identify opportunities for adoption within data engineering processes.Deliver highly scalable and reliable data pipelines.Improve platform performance, efficiency, and cost optimization.Enable enterprise-wide analytics and AI initiatives through trusted data products.Drive modernization of data platforms and adoption of cloud-native architectures.Leverage AI technologies to enhance engineering efficiency, automation, and innovation.Required Qualifications:Bachelor's or Master's Degree in Computer Engineering, Computer Science, Information Systems, or a related field.8+ years of experience in software engineering, data engineering, or big data platform development.Strong experience designing and implementing enterprise-scale data pipelines.Hands-on expertise with: Python, PySpark, Spark SQL, SQL, Kafka, Databricks, Delta Lake, Snowflake, Hive.Experience building data solutions on AWS cloud platforms.Strong understanding of distributed computing, data modeling, and large-scale data processing.Experience with Git-based development workflows and CI / CD practices.Excellent analytical, troubleshooting, and problem-solving skills.Technical Skills:Programming Languages: Python, Java, SQL, Shell Scripting, C / C++Big Data & Data Engineering: PySpark, Spark SQL, Hive, Databricks, Delta Lake, Snowflake, Kafka, HBase, SqoopWorkflow & Orchestration: Apache Airflow, Databricks Workflows, OozieCloud Technologies: AWS S3, EMR, EC2, Athena, Redshift, RDS, IAM, Lambda, SNS, SQSAI & Modern Engineering: Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI Systems, Model Context Protocol (MCP), Vector DatabasesVisualization & Tools: Tableau, Git, Docker, Splunk, IntelliJ IDEA, PyCharm, CursorApache SparkHands-on experience with Azure AI, Microsoft Copilot Studio, Gemini Enterprise, Spark AI development platforms, frameworks, and tools.Preferred Skills:Experience with real-time streaming architectures and event-driven systems.Knowledge of data governance, metadata management, and data quality frameworks.Experience with generative AI technologies including: LLMs, RAG, Vector Databases, AI Agents, MCP integrations.Experience developing developer productivity tools and AI-assisted engineering workflows.Exposure to enterprise supply chain, retail, healthcare, or manufacturing data domains.Certifications:AWS CertificationsAWS Certified Solutions Architect - AssociateAWS Certified Cloud PractitionerDatabricks CertificationsIf hired, you will enjoy the following ECLARO Benefits:401k Retirement Savings Plan administered by Merrill LynchCommuter Check Pretax Commuter BenefitsEligibility to purchase Medical, Dental & Vision Insurance through ECLAROIf interested, you may contact:
Heckle Tulab

Heckle Tulab | LinkedIn
Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.