Raleigh, North Carolina
Homestead, Florida
Posted: 27-Nov-24
Location: Irving, Texas
Categories:
Internal Number: 232001
Summary:
The Data Analytics Engineer I is responsible for developing and maintaining data sets and visualizations. This role uses programming skills to build, customize, and manage integration tools, databases, and analytical systems. The Data Analytics Engineer I assists in designing and implementing solutions to integrate, process, and analyze large data sets, requiring knowledge of data and systems design, development, and analytics.
Responsibilities:
- Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.
- Assist in analyzing large data sets to identify trends and insights.
- Collaborate with other team members and engineers to design and implement data processing and integration solutions.
- Recommend data handling and processing improvements based on the latest technological advancements.
- Participate in projects that involve sorting, analyzing, processing, and integrating large amounts of data.
- Develop visualizations using various technologies to represent data findings effectively.
- Collaborate by developing software solutions in languages like Java, Python, C, HTML, and SQL.
- Participate in testing software solutions to ensure they meet functional requirements.
- Develop and maintain code bases across multiple programming languages, ensuring that programming tasks are completed effectively and efficiently.
- Responsible for documenting all development and data processing phases for future reference.
- Continuously learn and apply best practices in data analytics and software development.
Job Requirements:
Education/Skills
Bachelor?s degree in computer science, engineering, math, or a related field is preferred.
Experience
- 0 - 1 years of analytics solutions or Healthcare IT experience preferred.
Microsoft SQL Server environment experience is preferred.
Licenses, Registrations, or Certifications
- Certifications in Hadoop or Java are preferred.
Work Schedule:
TBD
Work Type:
Full Time
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