
Data Solution Specialist
Remote · USFull-timeSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
The Data Solution Specialist develops and optimizes healthcare data integration processes, translating business requirements into actionable data solutions. The role uses Hadoop and Spark tools to map, transform, validate, and prepare large datasets, while supporting project execution, issue resolution, and change and release management. A high school diploma is required; a bachelor's degree in a related field and healthcare data experience are preferred.
Skills & qualifications
Skills
Qualifications
Full job description
Data Solution Specialist Job Locations US-Remote ID 2026-20136 Category Engineering/IT Position Type Full-Time Overview As a Data Solution Specialist at Cotiviti, you will play a pivotal role in designing, executing, and optimizing data transformation processes that drive our strategic business objectives. Your focus will be on hands-on development and integration of healthcare data, collaborating with stakeholders to translate business requirements, acceptance criteria, and non-functional requirements into actionable data solutions. You will leverage your technical expertise to ensure the seamless processing and integration of large healthcare datasets. Using advanced tools such as the Hadoop ecosystem (including Hue for running Hive and Impala queries), you will perform data mapping, transformation, and validation to prepare data for meaningful use across the organization. You will be responsible for tracking project progress, identifying and resolving issues, and supporting change and release management activities to deliver high-quality functionality. Ideal candidates for the Data Solution Specialist role possess a strong foundation in data management or related technical fields and demonstrate a capacity for rapid learning and application of new technologies. If you are passionate about staying ahead of the curve in data integration and eager to develop innovative data management strategies, you are the kind of professional we seek. Experience with healthcare data is highly valued. This role offers a unique opportunity for both personal and professional growth in a supportive environment, empowering you to enhance your skills and significantly contribute to Cotiviti's data management initiatives. Responsibilities Support the development and optimization of data integration solutions, including working on scalable data integration frameworks and assisting with ETL process refinements for effective data flow. * Contribute to cross-functional, matrixed project teams, supporting day-to-day activities to achieve project goals within set timelines. * Collaborate with different departments, using your technical expertise to understand and help integrate data needs into Cotiviti's strategic plans. * Engage in process execution and improvements, suggesting enhancements and documenting updates to processes as needed. * Participate in all stages of project development from research and design to programming, testing, and implementation. * Assist in coordinating meetings, managing agendas, and tracking action items, ensuring smooth communication across Business Units. * Work with technical product owners, architects, and engineers to help refine business requirements and acceptance criteria, contributing to the overall success of projects. * Execute data mapping and transformation tasks using the Hadoop and Spark ecosystems (e.g., Hue for Hive and Impala queries, Spark for distributed data processing) * Analyze, validate, and prepare large healthcare datasets for organizational use. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job change. Qualifications * High School Diploma Required. * Bachelor's degree in Computer Science, Information Systems, Healthcare Informat ics, Data Science, Biostatistics, Health Information Management, or a related field preferred. * 1-2 years of experience in technical roles required: 2+ years preferred, with exposure to healthcare data... For full info follow application link. Equal Opportunity Employer/Protected Veterans/In ividuals with Disabilities
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