Data Engineer - Clinical Analytics - Mitchell Martin
Addison, TX
About the Job
Our client, A national health care establishment, is seeking a Data Engineer – Clinical Analytics.
Location: Addison, TX
Position Type: Full-Time/Perm
Schedule: 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
Location: Addison, TX
Position Type: Full-Time/Perm
Schedule: 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
Source : Mitchell Martin