Job description

Azure Data Engineer – Databricks Specialist - Hybrid: Hybrid position with home office in Richmond, VA Impact Makers is a mission-driven management and technology consulting company that delivers exceptional value to make an impact for our clients and the world. 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 for the community. We are committed to gifting 100% of our net profits to the community over the life of the company and our annual community contributions rival companies 100x our size. Summary and Responsibilities:We are looking for an experienced Azure Data Engineer: with a solid foundation in Databricks:, strong SQL: and Python: skills, and a mindset geared toward building scalable data platforms that support AI and advanced analytics:. You’ll join a high-impact team responsible for architecting and developing cloud-based data solutions that power key business decisions and AI initiatives. Skills & Qualifications: Key Responsibilities: • 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, taking care of our employees is of the utmost importance and our employee benefits package reflects that. We offer healthcare plans with generous contributions to premiums, 401(k) with matching, and generous PTO. Impact Makers embraces the pursuit of balance between work, family, and personal interests, with a flexible, dog-friendly work environment in Scott’s Addition. We like to have fun at work, collaborating through company sponsored events and pro bono opportunities. Our team members work with Impact Makers, not for Impact Makers.

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