Join to apply for the Azure Data Engineer - Databricks Specialist role at Impact Makers Impact Makers is a mission-driven management and technology consulting company that delivers exceptional value to make an impact for our clients and the community. Our experienced teams help organizations manage transformation in IT, data, cloud, and security with a focus on their customers and their people. We utilize our innovative business model to transform the business value of our work into social value, committing to gift 100% of our net profits to the community over the company's lifespan. Summary and Responsibilities: We are seeking an Azure Data Engineer with expertise in Databricks , strong SQL and Python skills, and a mindset focused on building scalable data platforms supporting AI and advanced analytics . You will join a high-impact team responsible for architecting and developing cloud-based data solutions that enable key business decisions and AI initiatives. Skills & Qualifications: Design and implement Azure-based data pipelines , storage solutions, and transformation logic Develop and manage ETL/ELT processes using Databricks and Azure-native services (e.g., Data Factory, Synapse) Build reusable, scalable, and secure data assets to support AI/ML workflows Write and optimize SQL queries and Python scripts for data ingestion and transformation Collaborate with data scientists and analytics teams to ensure high-quality, AI-ready data Monitor, troubleshoot, and optimize data workflows and performance Required Qualifications: Azure Data Engineer Associate or Databricks certification (preferred) 3–5 years of experience building solutions on Microsoft Azure (Data Lake, Data Factory, Synapse, etc.) 1–2 years of hands-on experience with Databricks Strong SQL skills with proven experience in data modeling, query tuning, and data wrangling Proficiency in Python , particularly for data transformation and workflow automation Solid understanding of data engineering for AI/ML , including support for feature engineering and model pipelines Preferred Experience: Familiarity with Delta Lake, Unity Catalog, and Spark optimization strategies; exposure to ML tools such as MLflow, Azure ML, or custom AI solutions; CI/CD and DevOps practices for data engineering; experience working in agile, cross-functional data teams. Benefits of working at Impact Makers: As a values-based company, we prioritize our employees' well-being with healthcare plans, 401(k) matching, and generous PTO. We promote work-life balance in a flexible, dog-friendly environment in Scott’s Addition, fostering collaboration through company-sponsored events and pro bono opportunities. Our team works with Impact Makers, not just for Impact Makers. Additional Details: Seniority level: Associate Employment type: Full-time Job function: Consulting and Information Technology Industries: Information Services, Data Infrastructure and Analytics, IT System Data Services #J-18808-Ljbffr
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