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Data Engineer - Clinical Analytics

Addison, TX, United States

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

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