Data Engineer

Responsibilities Develop and maintain data pipelines, ETL processes, and workflows to collect, clean, and transform data from various sources into usable formats Ensure data integrity, quality, and accuracy throughout the data processing lifecycle Analyze and interpret health insurance exchange data and related datasets to identify patterns, trends, and insights Generate reports, dashboards, and visualizations to communicate findings effectively to non-technical stakeholders Design, develop, and maintain databases, data models, and schemas for efficient storage and retrieval of data Collaborate with cross-functional teams to understand business requirements and translate them into data solutions Stay up to date with emerging technologies, industry trends, and best practices in data analysis, engineering, and visualization Identify opportunities to improve data infrastructure, processes, and analytics capabilities Requirements Bachelor’s or Master’s degree in healthcare administration, data science, statistics, or equivalent work experience preferred 2+ years of experience in healthcare analytics, reporting, or related technical roles preferred Strong proficiency in SQL and data analysis, within Microsoft SQL Server, Oracle SQL Developer, and PL/SQL environments Experience with Tableau, Excel, Power BI or similar visualization platforms preferred Proficiency in data profiling, manipulation, and transformation using tools such as Pandas, Python, or similar Experience working with cloud or warehouse platforms such as Amazon Redshift preferred Familiarity with additional database platforms and data environments is a plus. Excellent problem-solving, critical thinking, and analytical skills, with keen attention to detail Strong communication and collaboration abilities, with the capacity to present complex findings in a clear and concise manner Ability to work effectively in a fast-paced consulting environment #J-18808-Ljbffr