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Company: A national home healthcare groupJob Title: Data Analytics EngineerLocation: Hybrid - On-Site 2 days/week in Denver, COJob Type/Duration: Initial 5-month contract, with high likelihood of extension/permanent conversation based on the rate the team & company are growing.Pay: $55-70/hour (with potential for flexibility based on experience)Must-haves:~5+ years' experienceBachelor's degree in Data Analytics, Data Science, Computer Science, or related fieldProven experience in Data/Business AnalysisSQL Proficiency (min 3+ years)Strong understanding of data modeling, ETL processes, and data warehousing concepts.Must be comfortable and confident in project ownership rather than being assigned tasks to followExcellent communication skills with a history of interfacing with executives and clientsWillingness to travel: Max ~1 week/Quarter to St. Paul, Minnesota (plus light ad-hoc travel)Strong organizational skills with a focus on clear documentationDBT knowledge/expertise OR eagerness to learn & implement Plusses:SnowflakePower BI or TableauExperience with healthcare data, specifically claims data protected by HIPAAKnowledge of machine learning techniques and their application in data analyticsFamiliarity with version control systems (e.g., Git)Comfort working in an AGILE development environmentExperience with Python programmingDay-to-day:A national home healthcare client is seeking a skilled Data Analytics Engineer! This unique role involves collaborating with the parent company's data analytics team in Denver, Colorado and supporting a company brand out of Saint Paul, Minnesota. The ideal candidate will possess a strong foundation in data and business analytics, with a knack for understanding diverse business needs and translating them, in addition to building robust data models.Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes to manage large volumes of structured and unstructured dataCollaborate with data engineers, analysts, and business stakeholders to understand data requirements and translate them into actionable technical solutionsBuild and optimize data models for efficient data storage, retrieval, and analysisImplement and manage data governance practices to ensure data quality, accuracy, and consistency across all sourcesCollaborate and help to develop and maintain dashboards, reports, and data visualizations that provide actionable insights to various leadership teamsStandardize data from various operational systems (EHR, Finance, Marketing CRM, and other databases) into models for business scorecards and management dashboards#J-18808-Ljbffr