Engineer, Data Onsite Corporate

Select Medical•Addison, TX

2h•Onsite

About The Position

Overview The Data Engineer 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 strong 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. This Data Engineer will be within the Data Science Team. Responsibilities Analyze, develop, combine raw information, and maintain various data sources Identify opportunities to improve data quality while build data systems and pipelines Understand basic ETL concepts to prepare both structured and unstructured data for predictive and prescriptive modeling Follow enterprise project life cycle and prepare for integration and user acceptance testing methods. Take accountability and responsibility of assigned work, maintain communication with team Curiosity with identifying opportunities for data acquisition and understanding of data domain knowledge Collaborate with Business Intelligence (BI) ETL Developers/Data Architect, Data Scientists, Reporting Analysts, and Subject Matter Experts (SME) to understand businessgoals Produce technical documentation by following enterprise standards and guidelines Participate in relevant information-sharing activities Serve as escalation point for application support and troubleshooting Proactive identification of issues and opportunities that will have an impact on the business use of data/reports and ensure managerial awareness Daily review outstanding issues to assure that troubleshooting and resolutions are current Ensure all changes comply with change management policies and procedures 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.

Requirements

Education Level: Bachelor’s Degree
Major: Computer Science or Computer Engineering
Degree must be from an accredited college or university.
Customarily has at least one year understanding and working knowledge in Software development / Data-Centric / Model-Centric pipelines
Competent with Relational Database concepts
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
The hiring process requires passing a full technical assessment and interview which are completed onsite
Ability to write SQL queries, develop and tune performance
Develop skills for appropriate use of technology at various levels of development and project
Learn and familiarize with tools such as SQL Server, SSIS, Python, Azure, Docker, Git, and VisualStudio
Ability to understand and interact with use of cloud technology such as Azure, AWS and/or GCP is preferred
Understand data management process and work with cross-functional teams
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 solve problems by using logic to identify key facts, explore alternatives, and propose quality solutions
Highly organized
Communication skills to be able to effectively speak and write in a clear and professional manner
Skilled at listening and providing feedback

Nice To Haves

Azure experience is preferred with working knowledge on Azure Data Factory, Azure Web Application, Azure ML platforms
Ability to understand and interact with use of cloud technology such as Azure, AWS and/or GCP is preferred

Responsibilities

Analyze, develop, combine raw information, and maintain various data sources
Identify opportunities to improve data quality while build data systems and pipelines
Understand basic ETL concepts to prepare both structured and unstructured data for predictive and prescriptive modeling
Follow enterprise project life cycle and prepare for integration and user acceptance testing methods.
Take accountability and responsibility of assigned work, maintain communication with team
Curiosity with identifying opportunities for data acquisition and understanding of data domain knowledge
Collaborate with Business Intelligence (BI) ETL Developers/Data Architect, Data Scientists, Reporting Analysts, and Subject Matter Experts (SME) to understand businessgoals
Produce technical documentation by following enterprise standards and guidelines
Participate in relevant information-sharing activities
Serve as escalation point for application support and troubleshooting
Proactive identification of issues and opportunities that will have an impact on the business use of data/reports and ensure managerial awareness
Daily review outstanding issues to assure that troubleshooting and resolutions are current
Ensure all changes comply with change management policies and procedures