Data Integration Engineer

Cotiviti is seeking a Data Integration Engineer to join their innovative software teams. In this position, you will be responsible for onboarding customers to the Risk Adjustment workflow applications and will work with platform engineering, product, and implementation teams.

Responsibilities:

• Design and develop data flows and extraction processes
• Integrate client’s data into the Edifecs/Cotiviti Risk Adjustment Workflows
• Work with relational databases and Python jobs
• Implement open-source standards for data quality
• Develop a new framework for data ELT jobs to scale implementation, monitoring, and quality
• Build and scale automation that orchestrate complex workflows
• Ability to support existing processes while leading efforts to redefine the data strategy

Requirements:

• 3+ years of hands-on experience with relational database systems (PostgreSQL)
• 2+ years of hands-on experience developing ELT jobs/data pipelines within various technologies such as: Argo Workflows, cron, Airflow, dbt, great expectations
• 2+ years of experience in Linux system
• Proficiency in shell scripting and automation
• Experience building reusable data methods and working with version control systems (git)
• 3+ years of hands-on experience with programming languages such as python
• Experience with container deployment platforms and tools, such as Kubernetes, Docker, Helm, and Terraform
• AWS Cloud experience: EC2, RDS, SQS, IAM, S3