Data Engineer-M-F, 9am-6pm Pacific Time zone

Cotiviti is a company focused on data management for clients. The Data Engineer role involves overseeing ETL processes, maintaining data pipelines, and ensuring data quality and security in a healthcare data management context.

Responsibilities:

• 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
• Ability to analyze data with a high level of detailed accuracy, identify root causes of issues, and demonstrate problem-solving skills to troubleshoot data-related issues
• 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
• 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
• Exceptional communication, problem-solving, and leadership skills
• Advanced analysis, problem-resolution, judgment, and decision-making capabilities
• Ability to prioritize and execute complex tasks in a high-pressure environment independently
• Strong results orientation, initiative, attention to detail, and customer service focus
• Expert time management skills, balancing daily operations, projects, and mentorship
• Ability to independently prioritize, re-prioritize, and manage multiple complex tasks
• Knowledge of US healthcare data, preferably in data operations role, is a plus
• Knowledge of data governance principles, data quality, and data lifecycle management a plus
• Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook
• Experience with project management tools like JIRA