[Remote] Analytics Engineer I

Note: The job is a remote job and is open to candidates in USA. ECC provides essential environmental, construction, and disaster response services, relying on its Data Science & Analytics Team for enterprise data pipelines, automation, Power BI datasets, and AI initiatives. As an Analytics Engineer, you will transform data and technology into actionable insights, design and maintain data infrastructure, and collaborate with business units to optimize key performance indicators.

Responsibilities

• Design and deploy enterprise AI solutions using LLMs, RAG architecture, and intelligent agents aligned with ECC business needs
• Build and maintain copilots and AI agents using Microsoft Copilot Studio and Microsoft Agents SDK, integrating workflows, guardrails, and telemetry
• Develop, train, and deploy computer vision models for object detection, classification, and image analysis to support operational, safety, and analytical use cases
• Engineer and manage Azure‑based data pipelines that power AI retrieval, embeddings, and analytics workloads
• Develop Python‑based automation and integrations for APIs, document ingestion, embeddings, and AI pipeline orchestration
• Enable AI‑driven insights by supporting trusted semantic models and datasets used across reporting, copilots, and executive workflows
• Partner with business and technical teams to define AI use cases, data requirements, and success metrics
• Ensure AI and data solutions meet standards for security, reliability, documentation, transparency, and responsible use
• Maintain clear technical documentation and support production AI systems during deployments and critical business cycles

Skills

• Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related field with at least 2 years of professional experience in data engineering, BI engineering, or analytics engineering; or a master's degree in one of these fields with at least 1 year of professional experience
• Strong SQL includes window functions, performance tuning, and relational modeling
• Hands‑on experience with Azure (AI Search, ADF/Synapse, ADLS, Azure SQL, Key Vault, Functions, Fabric, Purview)
• Hands-on experience with Computer vision models for classification, detection and segmentation using cloud services or offline models
• Proven experience with LLMs, RAG architecture, embeddings, prompt engineering, and evaluation techniques in an enterprise setting
• Proficiency in Python for data engineering, AI pipelines, APIs, document processing, and automation
• Experience building copilots or intelligent agents using Copilot Studio, Microsoft Agents SDK, or comparable AI orchestration frameworks
• Experience with Git and CI/CD pipelines
• Understanding of data quality, observability, and structured documentation

Benefits

• Medical/Dental/Prescription/Vision Insurance
• Life Insurance
• Long Term Disability Insurance
• Paid Time off and Holiday Pay
• 401k with deferral matching
• ESOP
• Student Debt Reduction Program
• Flexible Spending Accounts (FSA)
• Educational Assistance
• Mentorship Program
• ECC University
• Employee Referral Bonus Program
• Company-matching charitable giving program

Company Overview

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