CHRISTUS Health - Irving, TX

posted about 2 months ago

Full-time - Entry Level
Onsite - Irving, TX
Ambulatory Health Care Services

About the position

The Data Analytics Engineer I at Christus Health System is a pivotal role focused on developing and maintaining data sets and visualizations that drive performance excellence within the organization. This position requires a blend of programming skills and analytical capabilities to build, customize, and manage integration tools, databases, and analytical systems. The engineer will assist in designing and implementing solutions that integrate, process, and analyze large data sets, which is essential for informed decision-making and operational efficiency. In this role, the Data Analytics Engineer I will meet the expectations of the OneCHRISTUS Competencies, which include being a Leader of Self, Leader of Others, or Leader of Leaders. The engineer will analyze large data sets to identify trends and insights, collaborating with team members and engineers to design and implement effective data processing and integration solutions. The position also involves recommending improvements in data handling and processing based on the latest technological advancements, ensuring that the organization remains at the forefront of data analytics. The engineer will participate in various projects that involve sorting, analyzing, processing, and integrating substantial amounts of data. Developing visualizations using various technologies to effectively represent data findings is a key responsibility. Additionally, the engineer will collaborate in developing software solutions using programming languages such as Java, Python, C, HTML, and SQL, and will participate in testing these solutions to ensure they meet functional requirements. Documentation of all development and data processing phases is crucial for future reference, and the engineer is expected to continuously learn and apply best practices in data analytics and software development.

Responsibilities

  • 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.
  • Document all development and data processing phases for future reference.
  • Continuously learn and apply best practices in data analytics and software development.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Math, or a related field is preferred.
  • 0 - 1 years of analytics solutions or Healthcare IT experience preferred.
  • Microsoft SQL Server environment experience is preferred.
  • Certifications in Hadoop or Java are preferred.
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