Optimize Search Group
Data Engineer - Clinical Analytics
Optimize Search Group, Addison, Texas, United States, 75001
Job Title: Data EngineerDuration: Direct HireLocation: Addison, TX
(On-site 100% first 90 days, then 50% onsite)Overview:
The Data Engineer is primarily focused on analytical processes with ability to implement database solutions and best practices in the realm of 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 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.
Responsibilities:
Analyze, develop, combine raw information, and maintain various data sourcesImprove data quality and efficiency to build data systems and pipelinesIdentify opportunities for data acquisitionImplement ETL methods to prepare both structured and unstructured data for predictive and prescriptive modelingLeverage data serialization techniques to meet project needs for use in various reporting platformsDevelop analytical tools and programs suitable for users, customers, and stakeholders.Collaborate with Business Intelligence (BI) ETL Developers/ Data Architect, Data Scientist, Reporting Analyst, and Subject Matter Experts (SME) to understand business goals.Understand enterprise project life cycle and prepare for integration and user acceptance testing methods.Produce technical documentation by following enterprise standards and guidelinesParticipate in relevant information-sharing activitiesServe as escalation point for application support and troubleshootingProactive identification of issues and opportunities that will have an impact on the business use of reports and ensure managerial awarenessOn a daily basis review outstanding issues to assure that troubleshooting and resolutions are currentEnsure all changes comply with change management policies and proceduresThis 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.Qualifications:Education Level:Bachelor's Degree in a technical field such as Computer Science or Computer Engineering
Customarily has at least three or more years in:Software development / Data-Centric pipelines / Model-Centric pipelinesRelational Database experienceDocumentation and publicationJob-Related Skills/Competencies
Ability to make decisions or solve problems by using logic to identify key facts, explore alternatives, and propose quality solutionsOutstanding customer service skills as well as the ability to deal with people in a manner which shows tact and professionalismThe ability to properly handle sensitive and confidential information (including HIP nd PHI) in accordance with federal and state laws and company policiesStrong SQL development and performance tuning skillsHighly organizedCommunication skills to be able to effectively speak and write in a clear and professional mannerSkilled at listening and providing feedbackEffective group facilitator
(On-site 100% first 90 days, then 50% onsite)Overview:
The Data Engineer is primarily focused on analytical processes with ability to implement database solutions and best practices in the realm of 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 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.
Responsibilities:
Analyze, develop, combine raw information, and maintain various data sourcesImprove data quality and efficiency to build data systems and pipelinesIdentify opportunities for data acquisitionImplement ETL methods to prepare both structured and unstructured data for predictive and prescriptive modelingLeverage data serialization techniques to meet project needs for use in various reporting platformsDevelop analytical tools and programs suitable for users, customers, and stakeholders.Collaborate with Business Intelligence (BI) ETL Developers/ Data Architect, Data Scientist, Reporting Analyst, and Subject Matter Experts (SME) to understand business goals.Understand enterprise project life cycle and prepare for integration and user acceptance testing methods.Produce technical documentation by following enterprise standards and guidelinesParticipate in relevant information-sharing activitiesServe as escalation point for application support and troubleshootingProactive identification of issues and opportunities that will have an impact on the business use of reports and ensure managerial awarenessOn a daily basis review outstanding issues to assure that troubleshooting and resolutions are currentEnsure all changes comply with change management policies and proceduresThis 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.Qualifications:Education Level:Bachelor's Degree in a technical field such as Computer Science or Computer Engineering
Customarily has at least three or more years in:Software development / Data-Centric pipelines / Model-Centric pipelinesRelational Database experienceDocumentation and publicationJob-Related Skills/Competencies
Ability to make decisions or solve problems by using logic to identify key facts, explore alternatives, and propose quality solutionsOutstanding customer service skills as well as the ability to deal with people in a manner which shows tact and professionalismThe ability to properly handle sensitive and confidential information (including HIP nd PHI) in accordance with federal and state laws and company policiesStrong SQL development and performance tuning skillsHighly organizedCommunication skills to be able to effectively speak and write in a clear and professional mannerSkilled at listening and providing feedbackEffective group facilitator