Data Solution Specialist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $70k - $90k / year

⏰ Full Time

🟢 Junior

🚫👨‍🎓 No degree required

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Logo of Cotiviti

Cotiviti

5001 - 10000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• Support development and optimization of data integration solutions and scalable data integration frameworks • Assist with ETL process refinements for effective data flow • Contribute to cross-functional, matrixed project teams and day-to-day project activities • Collaborate with departments to integrate data needs into strategic plans • Execute and improve processes, suggesting enhancements and documenting updates • Participate in research, design, programming, testing, and implementation • Coordinate meetings, manage agendas, and track action items across Business Units • Help technical product owners, architects, and engineers refine business requirements and acceptance criteria • Execute data mapping and transformation using Hadoop and Spark ecosystems • Analyze, validate, and prepare large healthcare datasets • Track project progress, identify and resolve issues, and support change and release management activities

🎯 Requirements

• High School Diploma required • Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, Data Science, Biostatistics, Health Information Management, or a related field preferred • 1–2 years of experience in technical roles required; 2+ years preferred • Exposure to healthcare data management, ETL development, data integration, or a similar field • Proficiency with Hadoop ecosystem tools, including Hue for Hive and Impala queries • 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/processing • 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 provide a dedicated, secure work area • High-speed internet access/connectivity and office setup and maintenance • Critical thinking, attention to detail, quantitative aptitude, data interpretation, communication skills, curiosity and learning agility, resilience, and ethical integrity

🏖️ Benefits

• Medical, dental, vision, disability, and life insurance coverage • 401(k) savings plan • 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 • Remote work • Virtual interviews

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