Lead Analytics Engineer / Delivery Lead

Job Title: Lead Analytics Engineer / Delivery Lead Location: Remote (USA) Employment Type: Contract About Us Chabez Tech is a data engineering and AI products company focused on helping organizations achieve operational and customer excellence. We specialize in delivering scalable data solutions, AI-driven products, and integration services that accelerate digital transformation. Our expertise spans data engineering, MLOps, data governance, security, and compliance. With flexible and customizable platform solutions, we enable businesses to streamline operations, reduce complexity, and eliminate the need for multiple vendors. Role Overview We are seeking a Lead Analytics Engineer / Delivery Lead to drive end-to-end delivery of analytics and data engineering initiatives in a fast-paced, research-driven environment. This role combines hands-on technical expertise with delivery leadership and team management. You will be responsible for building and optimizing data pipelines, leading engineering teams, and ensuring high-quality, on-time delivery of analytics solutions. Key Responsibilities Delivery Leadership • Own project timelines, milestones, and deliverables from planning through execution • Translate business and research requirements into actionable delivery plans • Manage dependencies, risks, and stakeholder expectations • Communicate progress, issues, and impacts to both technical and non-technical stakeholders Team Management • Lead and mentor analytics engineers and developers • Assign tasks, prioritize work, and provide performance feedback • Foster a culture of accountability, collaboration, and continuous improvement Technical Execution • Design, build, and maintain scalable ETL/ELT pipelines • Develop and optimize data models and workflows using SQL and Python • Work with modern data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, or equivalent) • Ensure production stability through monitoring, optimization, and issue resolution Engineering Excellence • Enforce best practices in version control, branching strategies, and pull request workflows • Conduct code reviews and technical design reviews • Establish standards for testing, documentation, and code quality • Ensure full traceability of changes across environments Domain & Data Understanding • Quickly learn new data sources, workflows, and business processes • Work with complex datasets, including healthcare, research, or regulated data environments (preferred) Required Qualifications • 8+ years of experience in analytics engineering, data engineering, or related roles • Proven experience leading delivery of data and analytics projects • Hands-on expertise in SQL and Python • Strong experience building and maintaining ETL/ELT pipelines • Experience with modern data platforms (Microsoft Fabric or equivalent) • Demonstrated experience managing or mentoring engineering teams • Strong understanding of software development lifecycle and best practices • Excellent communication and stakeholder management skills • Ability to work independently in a contractor capacity Preferred Qualifications • Experience working with clinical, healthcare, or research datasets • Familiarity with EDC (Electronic Data Capture) systems • Exposure to data governance, compliance, and regulated environments • Experience in fast-paced, delivery-driven consulting environments Why Join Us • Work with a cutting-edge data engineering and AI company • Opportunity to lead high-impact, end-to-end data initiatives • Exposure to multi-domain data and AI solutions • Flexible and collaborative remote work environment • Be part of a team focused on operational excellence and innovation