Data Engineer - Clinical Analytics

Overview

On Site
Hybrid
BASED ON EXPERIENCE
Full Time
Contract - Independent
Contract - W2

Skills

Analytics
Database
Software engineering
Orchestration
Cloud computing
Programming languages
Operations
Machine Learning (ML)
Artificial intelligence
Data quality
Data acquisition
Unstructured data
Modeling
Analytical skill
Collaboration
Business intelligence
Extract
transform
load
Reporting
Acceptance testing
Technical writing
Application Support
IMPACT
SAP BASIS
Change management
Policies and procedures
Software development
RDBMS
SQL
Performance tuning
PL/SQL
Microsoft SSIS
Sybase
NoSQL
Python
Docker
Git
Microsoft Visual Studio
ELT
Data
Data flow
Microsoft Azure
Health care
IBM Cognos TM1

Job Details

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

Please email:
#LI-TM1

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.