ECC

Location: Remote from US Location Position: Analytics Engineer I 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 transform data and technology into actionable insights to drive growth and improve performance. You design and maintain data infrastructure, develop predictive and AI-driven solutions, and collaborate with business units to optimize personnel selection, safety and core KPIs. In addition to technical expertise, you embody ECC’s vision and values—building trust, fostering collaboration, and encouraging innovation to support both team and stakeholder success. In this position, you will: - AI & Intelligent Systems Engineering: Design and deploy enterprise AI solutions using LLMs, RAG architecture, and intelligent agents aligned with ECC business needs. - Copilot & Agent Development: Build and maintain copilots and AI agents using Microsoft Copilot Studio and Microsoft Agents SDK, integrating workflows, guardrails, and telemetry. - Computer Vision & Detection Models: Develop, train, and deploy computer vision models for object detection, classification, and image analysis to support operational, safety, and analytical use cases. - Data Foundations for AI: Engineer and manage Azure‑based data pipelines that power AI retrieval, embeddings, and analytics workloads. - Automation & AI Integration: Develop Python‑based automation and integrations for APIs, document ingestion, embeddings, and AI pipeline orchestration. - Analytics & Decision Enablement: Enable AI‑driven insights by supporting trusted semantic models and datasets used across reporting, copilots, and executive workflows. - Cross‑Functional Collaboration: Partner with business and technical teams to define AI use cases, data requirements, and success metrics. - Governance, Quality & Observability: Ensure AI and data solutions meet standards for security, reliability, documentation, transparency, and responsible use. - Documentation & Production Support: Maintain clear technical documentation and support production AI systems during deployments and critical business cycles. Requirements - 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. ECC targeted salary range for US locations average is $75,762 to $103,840 annually. Actual salary offered may be affected by education, training, certifications, experience, skills, level of responsibility, and location. Benefits Offered for Full-Time positions: - 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

Location: Remote from US Location Position: Analytics Engineer I 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 transform data and technology into actionable insights to drive growth and improve performance. You design and maintain data infrastructure, develop predictive and AI-driven solutions, and collaborate with business units to optimize personnel selection, safety and core KPIs. In addition to technical expertise, you embody ECC’s vision and values - building trust, fostering collaboration, and encouraging innovation to support both team and stakeholder success. In this position you will: - Data Engineering: Design, develop, and maintain Azure-based ELT pipelines to ingest, clean, transform, and publish data. Ensure robust data quality, monitoring, and governance standards. - Data Optimization: Improve efficiency and scalability of SQL queries, stored procedures, and Spark/PySpark/Databricks jobs. - Automation & Integration: Create Python automation scripts for API ingestion, web scraping, and scheduled data updates. Integrate external data sources securely into Azure Data Lake and Azure SQL. - Power BI Modeling: Build and publish enterprise datasets using star schema design, row-level security, incremental refresh, and deployment pipelines. Partner with BI analysts to enhance refresh times and model reliability. - AI Initiatives: Develop and deploy machine learning models for business insights, leveraging modern AI frameworks and tools. Collaborate on research into advanced analytics and predictive modeling pipelines, aligning solutions with industry best practices and integrating them with data lake and data warehouse environments. - Cross-Team Collaboration: Engage with HR, Operations, Scheduling, and Finance teams to define data requirements and participate in code reviews, contributing to shared repository standards. - Be a Self-Starter: Proactively identify opportunities and initiate actions that drive progress, without waiting for direction. - Think Broadly: Apply strategic and holistic thinking to project work, keeping in mind how individual actions contribute to the organization’s long-term goals and success. - Documentation & Support: Maintain thorough documentation, runbooks, monitor dashboards, and architecture diagrams. Provide support for production pipelines during deployments and major program cycles. Requirements - 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 (ADF/Synapse, ADLS, Azure SQL, Key Vault, Functions, Fabric, Purview). - Proficient in Python for data analysis, automation, APIs, and scraping frameworks. - Power BI dataset modeling experience (DAX fundamentals, RLS, incremental refresh). - Experience with Git and CI/CD pipelines. - Understanding of data quality, observability, and structured documentation. ECC targeted salary range for US locations average is $75,762 to $103,840 annually. Actual salary offered may be affected by education, training, certifications, experience, skills, level of responsibility, and location. Benefits Offered for Full-Time positions: - 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