Data Engineer

🕒 May 28

🇺🇸 United States – Remote

💵 $80k - $112k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Healthcare Insurance • Fintech • Artificial Intelligence

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

• Oversee ETL processes to ensure their success, with the primary responsibility of providing accurate and timely data across various products to support the company's revenue generation • Maintain data pipelines running on proprietary big data processing platform and providing support to make sure data delivery SLAs are met • Maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting • Generally focused on data ingestion for healthcare data management, data validation, statistical report generation, and program validation • Develop, support, and improve scalable and efficient data ingestion processes and techniques aimed at enhancing process efficiencies and optimizing query performance for our proprietary data applications and systems • Implement and perform data validation and quality checks to maintain high data integrity • Perform troubleshooting, data analysis, data mining, investigations and identifying root cause of issues using several cutting-edge data analysis tools in a fast-paced environment • Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions • Work with Technical Operations to troubleshoot complex database issues related to the entire environment including OS, storage, and servers • Provide off hours support to resolve production issues when necessary • Develop data transformation specifications to convert source data to be loaded into target data warehouse tables using SQL and other Data Integration/ETL tools • Support the implementation of data governance policies and security measures to protect sensitive information • Create and maintain dashboards as needed • Participate in meetings with clients and/or stakeholders • Complete individual productivity tracking • Complete task assignments using department ticketing system within assigned deadline • Achieve organizational and individual goals as identified in performance reviews and goal-setting exercises • Complete all special projects and other duties as assigned

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology or equivalent work experience • 2+ years of working knowledge of RDBMS (Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools • 2+ years of experience in data engineering, data analysis, or a related field with a strong track record of building and managing data pipelines • 2-4 years’ experience with data aggregation, standardization, linking, quality check mechanisms, and reporting • 2-4 years’ experience with big data technologies like Hadoop and Spark • Proficient and experienced in analyzing, designing, and developing solutions and strategies involving relational databases (e.g., Oracle, Vertica, SQL Server), ETL tools (e.g., SSIS, ODI, Informatica), and data warehousing concepts • Solid understanding of Linux environments; strong knowledge of shell scripting and file systems • Knowledge of US healthcare data, preferably in data operations role, is a plus • Experience in coding principles and the ability to follow best practices for developing and deploying code for data manipulation and automation • Experience in at least one programming language such as Python, Java, Scala or Powershell • Knowledge of data governance principles, data quality, and data lifecycle management a plus • Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook • Flexible work schedule • Experience with project management tools like JIRA • Strong analytical skills • Quick Learner, energetic and flexible • Excellent verbal, listening and written communication skills • Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times

🏖️ 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 specific level and length of service