About Us: Management Science and Innovation (MSI) Consulting, LLC is a mid-size Management Consultancy located in the Washington DC Metro Region with over two decades of experience serving Industry, Federal, State and Local Government, Non-Profit, and Higher-Education clients. Many of our clients are long-standing partners who continue to request our support in solving complex business challenges. Our team boasts advanced degrees from leading institutions, industry certifications, and deep experience in strategy, process engineering, process automation, performance management, innovation, and technology. We pride ourselves on delivering strategic insights and transformative services to our clients, which has been the backbone of our growth and success over the past few years. As we look to sustain our success and expand our reach, we are seeking a dynamic and experienced Databricks Engineer, well versed in data platform architecture standards, to continue developing our teams and expanding our capabilities. Job Description: MSI is the leader in the Federal adoption of Emerging Technologies. Our engagements span the civilian and defense sectors and include developing some of the most impactful automations that have been deployed in the Federal Government. Responsibilities for this role include, but are not limited to: Develop and maintain ETL/ELT pipelines using Databricks, PySpark, and Delta Lake. Optimize data workflows for scalability, reliability, and cost efficiency. Collaborate with data scientists, analysts, and product teams to deliver trusted datasets. Contribute to CI/CD, testing, and deployment processes. Participate in code reviews and follow engineering best practices. Qualifications: 3+ years of data engineering experience, including 1+ year with Databricks. Experience building ETL/ELT pipelines using Spark and Delta Lake. Proficiency in SQL and Python. Experience building and deploying production Databricks AI/Agent solutions, ML engineering workflows, GenAI applications, and enterprise-grade dashboards and data products on the Databricks Lakehouse Platform. Understanding of Lakehouse architecture and data modeling fundamentals. Familiarity with Git, CI/CD, and testing practices. Understanding of governance and security fundamentals. Preferred Qualifications: Databricks Data Engineer Associate certification. Exposure to streaming technologies and orchestration tools. Experience with Databricks Workflows, Airflow, or Azure Data Factory. Experience supporting Federal government clients. As a HUBZone certified company, we encourage applicants who live in a HUBZone, as designated by the Small Business Administration (SBA), to apply for this position. For more information visit https://maps.certify.sba.gov/hubzone/map Job Type: Full-time Benefits: 401(k) Dental insurance Health insurance Life insurance Vision insurance Schedule: 8 hour shift Monday to Friday Work Location: Remote Job Type: Full-time Benefits: 401(k) Dental insurance Health insurance Life insurance Paid time off Parental leave Vision insurance Education: Bachelor's (Required)