**OVERVIEW**The Data Engineer is responsible for designing, building, and maintaining scalable, high\-performance data pipelines and infrastructure to support advanced analytics, machine learning, and business intelligence initiatives. This role operates primarily within a Microsoft Azure/Fabric ecosystem and collaborates closely with AI ML Engineers, BI teams, and business stakeholders to ensure data is reliable, accessible, and optimized for downstream use. **RESPONSIBILITIES**Data Pipeline Development \& Management * Design, build, and optimize ETL/ELT pipelines for ingestion, transformation, and delivery of business\-critical data. * Implement medallion architecture (bronze/silver/gold layers) to standardize data for downstream consumption. * Automate data collection, processing, and reporting workflows to improve efficiency and reduce manual effort. * Ensure high\-quality, reliable data by performing validation, monitoring, troubleshooting, and performance tuning. * Integrate APIs, data flows, and orchestration processes across the Microsoft ecosystem. Collaboration \& Analytics Enablement * Partner with AI ML Engineers, BI teams, and business stakeholders to structure data for analytics, forecasting, and ML initiatives. * Contribute to the re\-architecture and modernization of the company’s data platform, ensuring scalability and alignment with business objectives. * Maintain clear documentation of data models, pipelines, and integrations for transparency and knowledge sharing. Data Quality \& Governance * Implement systems to monitor data quality, ensure data integrity, and enforce security standards. * Audit, track, and improve data processes to comply with organizational standards and regulatory requirements. * Support version control, Agile workflows, and best practices using Git, Jira, and Confluence. Continuous Improvement \& Innovation * Analyze large\-scale data systems to identify performance improvements and optimizations. * Stay current with emerging data engineering tools, technologies, and trends, including AI/ML applications. * Actively contributes to the team’s culture of collaboration, innovation, and operational excellence. Why You Will Love the Team: * Work alongside a powerful technology workforce driving innovation and business impact. * Professional development opportunities with exposure to international customers and projects. * Collaborative and inclusive environment that encourages learning and growth. **QUALIFICATIONS*** Bachelor’s degree in Computer Science, Engineering, or a related field. * 5\+ years of experience as a Data Engineer or in backend/data\-intensive systems. * Expertise in ETL/ELT design, data integration, and pipeline orchestration. * Proficiency in SQL and Python for data processing and automation. * Hands\-on experience with Microsoft Azure stack: Azure Fabric, Azure Data Factory, Azure Data Lake, SQL Server. * Familiarity with medallion architecture (bronze/silver/gold) and modern data warehouse practices. * Knowledge of data modeling, version control (Git), and Agile tools (Jira, Confluence). * Strong problem\-solving skills with the ability to optimize and improve large\-scale data systems. Preferred Skills: * Familiarity with AI and ML applications, with willingness to learn and implement algorithms. * Strong statistical foundation to support data\-driven modeling and analytics. Schedule: * Full\-time, 40 hours/week; standard schedule Monday–Friday. * Some after\-hours or weekend work may be required to support deployments or major projects. *We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non\-merit factor. We are committed to creating a diverse and inclusive environment for all employees.*