Mitchell Martin;Mitchell Martin, Inc.
Data Engineer - Clinical Analytics
Mitchell Martin;Mitchell Martin, Inc., Addison, Texas, United States, 75001
Our client, A national health care establishment, is seeking a Data Engineer - Clinical Analytics.
Location:
Addison, TXPosition Type:
Full-Time/PermSchedule:
3 Days Onsite (Hybrid)
Job Summary:• 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 within client 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 sources• Improve data quality and efficiency to build data systems and pipelines• Identify opportunities for data acquisition• 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• Develop analytical tools and programs suitable for users, customers, and stakeholders within Client• 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 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 reports and ensure managerial awareness• On a daily basis 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.
Customarily has at Least Three or More Years in:• Software development / Data-Centric pipelines / Model-Centric pipelines• Relational Database experience• Strong SQL development and performance tuning skills• Competencies with Oracle, SQL Server, SSIS, Sybase, NoSQL, Python, Azure, Docker, Git, and Visual Studio• Experience with Data Lakes, Lake Houses, and ELT is preferred• Experience with Azure Client, Azure Data Factory, Azure Data Bricks, Azure Data Flow, and Azure Functions is preferred• Healthcare experience preferred
Salary: 100K-110K Base
#LI-TM1
Location:
Addison, TXPosition Type:
Full-Time/PermSchedule:
3 Days Onsite (Hybrid)
Job Summary:• 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 within client 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 sources• Improve data quality and efficiency to build data systems and pipelines• Identify opportunities for data acquisition• 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• Develop analytical tools and programs suitable for users, customers, and stakeholders within Client• 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 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 reports and ensure managerial awareness• On a daily basis 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.
Customarily has at Least Three or More Years in:• Software development / Data-Centric pipelines / Model-Centric pipelines• Relational Database experience• Strong SQL development and performance tuning skills• Competencies with Oracle, SQL Server, SSIS, Sybase, NoSQL, Python, Azure, Docker, Git, and Visual Studio• Experience with Data Lakes, Lake Houses, and ELT is preferred• Experience with Azure Client, Azure Data Factory, Azure Data Bricks, Azure Data Flow, and Azure Functions is preferred• Healthcare experience preferred
Salary: 100K-110K Base
#LI-TM1