The Data Engineer - Clinical Analytics is primarily focused on analytical processes with ability to implement database solutions and best practices in the realm of data science and machine learning projects. Essential software engineering skills with foundational knowledge on data movement and orchestration both on-premises and cloud environment. The Data Engineer supports and aligns with business decisions within Concentra by analyzing raw data, constructing, and maintaining data systems, and improving data quality and efficiency. Implements programming languages to develop and test architectures that enables data operations for predictive (i.e., machine learning/AI) or prescriptive modeling.
| • | Analyze, develop, combine raw information, and maintain various data sources | |
| • | Identify opportunities for data acquisition and collaborate with Application owners and Subject Matter Experts (SME) to document data domain knowledge | |
| • | Implement ETL methods to prepare both structured and unstructured data for predictive and prescriptive modeling | |
| • | Leverage data serialization techniques to meet project needs for use in various reporting platforms | |
| • | Understand enterprise project life cycle and prepare for integration and user acceptance testing methods. | |
| • | Produce technical documentation by following enterprise standards and guidelines | |
| • | Participate in relevant information-sharing activities | |
| • | Proactive identification of issues and opportunities that will have an impact on the business use of reports and ensure managerial awareness | |
| • | Understand troubleshooting and resolutions processes |
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. |
| Education Level: | Bachelor’s Degree in Computer Science or Computer Engineering preferred |
|---|---|
Degree must be from an accredited college or university. |
| • | Customarily has at least 6 months to 1 year in software development and data pipelines | |
| • | Relational Database exposure/experience | |
| • | Documentation and publication |
• Concentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency, Initiative and Flexibility • Ability to make decisions or solve problems by using logic to identify key facts, explore alternatives, and propose quality solutions • Outstanding customer service skills as well as the ability to deal with people in a manner which shows tact and professionalism • The ability to properly handle sensitive and confidential information (including HIPAA and PHI) in accordance with federal and state laws and company policies |
| • | Ability to write SQL queries, develop and tune query performance | |
| • | Develop skills for appropriate use of technology to align with project needs | |
| • | Familiarize and scale tools such as: SQL Server, SSIS, Python, Azure, Docker, Git, and Visual Studio | |
| • | Ability to understand and interact with cloud technology such as: Azure, AWS and/or GCP preferred | |
| • | Understand data management process | |
| • | Support current and future initiatives of application development | |
| • | Participate in peer-review of codes and maintain repositories | |
| • | Concentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency, Initiative and Flexibility | |
| • | Ability to make decisions or solve problems by using logic to identify key facts | |
| • | Highly organized | |
| • | Good communication skills to effectively speak and write in a clear and professional manner | |
| • | Skilled at listening, understanding and providing feedback |
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