Data Solution Specialist

Cotiviti • Remote,

3d • $70,000 - $90,000 • Remote

About The Position

As a Data Solution Specialist at Cotiviti, you will design, execute, and optimize data transformation processes that support strategic business objectives. The role focuses on hands-on development and integration of healthcare data, translating business requirements, acceptance criteria, and non-functional requirements aligned with the SAFe framework into actionable data solutions.

You will use tools in the Hadoop and Spark ecosystems to map, transform, validate, and prepare large healthcare datasets for organizational use. You will also track project progress, identify and resolve issues, support change and release management, and collaborate with stakeholders and cross-functional teams to deliver high-quality functionality. The role is remote, with virtual interviews.

Requirements

• High school diploma required.
• 1–2 years of experience in technical roles required.
• Proficiency with Hadoop ecosystem tools, such as Hue, for running Hive and Impala queries.
• Proficiency in Microsoft Office Suite, including Excel, PowerPoint, Word, and Outlook.
• Proficiency in JIRA and Agile processes.
• Understanding of the software development lifecycle (SDLC).
• Understanding of data engineering best practices.
• Ability to think critically and evaluate information objectively.
• Strong attention to detail for accurate data analysis, interpretation, and reporting.
• Strong quantitative skills for quantitative analysis, statistical methods and models, and data manipulation.
• Ability to interpret data visualizations, charts, graphs, and other data presentations and communicate findings effectively.
• Effective written and verbal communication skills for explaining technical concepts to non-technical stakeholders.
• Curiosity and learning agility to explore new methodologies, techniques, and tools.
• Resilience and ability to handle pressure, adapt to changing priorities, and overcome setbacks.
• Ability to uphold ethical standards and integrity when handling sensitive data and information.
• Ability to remain stationary, often standing or sitting for prolonged periods, and perform repetitive motions involving the wrists, hands, and/or fingers.
• Must provide a dedicated, secure work area, high-speed internet connectivity, and office setup and maintenance.

Nice To Haves

• Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, Data Science, Biostatistics, Health Information Management, or a related field.
• 2 or more years of technical experience, preferably with exposure to healthcare data management, ETL development, data integration, or a similar field.
• Experience with healthcare data.
• Understanding of data mapping from raw datasets to a global standard format.
• Proficiency with Spark ecosystems and PySpark, Scala, or Spark SQL for data transformation, ETL, and analytics.
• Proficiency with command line interfaces, including Bash and PowerShell, and hdfs dfs for HDFS operations.
• Proficiency in Python for data transformation and file extraction or processing.
• Experience in data quality and testing.
• Experience with project management software.

Responsibilities

• Support development and optimization of data integration solutions, including scalable integration frameworks and ETL process refinements.
• Contribute to cross-functional, matrixed project teams and support day-to-day activities to achieve project goals within timelines.
• Collaborate with departments to understand data needs and help integrate them into Cotiviti’s strategic plans.
• Execute and improve processes, suggesting enhancements and documenting process updates.
• Participate in project development from research and design through programming, testing, and implementation.
• Assist with coordinating meetings, managing agendas, and tracking action items to support communication across Business Units.
• Work with technical product owners, architects, and engineers to refine business requirements and acceptance criteria.
• Perform data mapping and transformation using Hadoop and Spark ecosystem tools, including Hue for Hive and Impala queries and Spark for distributed processing.
• Analyze, validate, and prepare large healthcare datasets for organizational use.

Benefits

• Medical, dental, vision, disability, and life insurance coverage.
• 401(k) savings plans.
• Paid family leave.
• 9 paid holidays per year.
• 17–27 days of Paid Time Off (PTO) per year, depending on level and length of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: High school or GED