DatabricksDataEngineer

DevIQ specializes in building modern cloud and data solutions – and we believe in the power of software and technology to improve lives. Join us to partner with passionate mid-market companies focused on reducing energy costs, curing disease, improving education, building smart cities, and more. From true innovation and synergetic cloud & technology partnerships to competitive full-time benefits and a strong team culture, DevIQ is a great place to work. At DevIQ, you’ll: * Build your career with a supportive, inclusive team that appreciates people, creates value, embraces growth, and “owns the problem” as a team. * Enjoy opportunities to learn, exposure to new industries, and building end-to-end solutions through meaningful work on active client projects. * Work remotely and/or from our modern studio in downtown Denver. * Bring your unique perspective and experience to multi-disciplinary teams. * Collaborate on and contribute to transformative digital experiences that touch millions of lives, watching your work make an impact. Please note that you must be a U.S. citizen or eligible to work in the U.S. to be considered for this role, and third-party candidates will not be accepted. We are seeking a Databricks Data Engineer to join our growing team. In this role, you’ll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality analytics and machine learning solutions for our clients. You’ll play a critical role in designing workflows that ingest, transform, clean, normalize, and augment data from various sources — leveraging Databricks Delta Lake, Unity Catalog, and Spark for production-grade pipelines. You should be comfortable working in cloud-based environments — particularly Databricks — and have experience with structured and unstructured data. A strong command of SQL and Python is essential, along with hands-on experience using Databricks (Delta Lake, Spark notebooks, Unity Catalog), Pandas, Apache Spark, or similar