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Data Analytics Engineer II

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CHRISTUS Health

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Location:
United States , Irving

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Data Analytics Engineer II is responsible for development, expansion, and maintenance of data pipelines of the echo system and uses programming skills to develop, customize and manage integration tools, databases, warehouses, and analytical systems. The Data and Analytics Engineer II is responsible for implementation of optimal solutions to integrate, store, process and analyze huge data sets. This includes an understanding of methodology, specifications, programming, delivery, monitoring, and support standards.

Job Responsibility:

  • Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders
  • Responsible for analyzing and understanding data sources, participating in requirement gathering, and providing insights and guidance on data technology and data modeling best practices
  • Analyzes ideas and business and functional requirements to formulate a design strategy
  • Acts as a tenant to draw out a workable application design and coding parameters with essential functionalities
  • Works in collaboration with the team members to identify and address the issues by implementing a viable technical solution that is time- and cost-effective and ensuring that it does not affect performance quality
  • Develops code following the industry's best practices and adheres to the organizational development rules and standards
  • Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance
  • Integrates software components, subsystems, facilities, and services into the existing technical systems environment
  • assesses the impact on other systems and works with cross- functional teams within Information Services to ensure positive project impact
  • and installs, configures, and verifies the operation of software components
  • Participates in the development of standards, design, and implementation of proactive processes to collect and report data and statistics on assigned systems
  • Participates in the research, design, development, and implementation of application, database, and interface using technology platforms provided
  • Researches, designs, implements, and manages programs
  • Fixes problems arising across the test cycles and continuously improves the quality of deliverables
  • References and documents each phase of development for further reference and maintenance operation
  • Uses critical and analytical thinking skills and understanding of programming principles and design
  • Uses strong technical knowledge of Enterprise Application/Integration Design to develop systems, databases, operating systems, and Information Services
  • Builds stream-processing systems, using solutions such as NiFi or Spark-Streaming
  • Uses intermediate level of SQL programing and query performance tuning techniques for Data Integration and Consumption using design for optimum performance against large data asset within Transactional, MPP, and columnar architecture

Requirements:

  • Bachelor’s degree in computer science, engineering, math, or related field, or foreign equivalent
  • Advanced knowledge of designing and developing data pipelines and delivering advanced analytics, with open-source Big Data processing frameworks such as Hadoop technologies
  • Proven competency in programming utilizing distributed computing principles
  • Demonstrative knowledge of data mining techniques, relational, and non-relational databases, Lambda Architecture, and BI and analytics landscape, preferable in large-scale development environments
  • Demonstrated proficiency in open-source technology
  • for example, Python, Spark, Hive, HDFS, Nifi, etc.
  • Experience in data integration with ETL techniques and frameworks
  • Big Data querying tools, such as Hive, Impala, and Spark SQL
  • and large-scale data lake data and data warehouse implementations
  • Minimum five (5) years’ experience with design, architecture and development of Enterprise scale platforms built on open-source frameworks
  • Minimum three (3) years’ experience in MapReduce, Spark programming
  • Minimum three (3) years’ experience developing analytics solutions with large data sets within an OLAP and MPP architecture

Additional Information:

Job Posted:
February 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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