Data Engineer I

Dell Medical School

AUSTIN, TX, US
$71,059.66 + depending on qualifications; not spec...
**
Design and maintain data pipelines
Build scalable etl/elt pipelines
Optimize pipeline performance
** The Dell Medical School is seeking a Data Engineer I to enhance and optimize its healthcare data infrastructure. The role involves building and maintaining scalable data pipelines and collaborating with various teams to ensure data quality and accessibility for clinical and operational decision-making. **

Job Summary

  • The Data Engineer is responsible for expanding and optimizing the healthcare system’s data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.
  • This position ensures data quality, security, and accessibility by integrating data from different sources such as EHRs, medical devices, financial systems, and external partners.
  • Designs and Maintains Data Pipelines, Develops and Manages Data Infrastructure, Enables Analytics and Data Science, Improves Internal Processes and Scalability, Collaborates Across Teams, Ensures Data Governance and Security.

Matching Summary

Match Score: 75

** The Dell Medical School is seeking a Data Engineer I to enhance and optimize its healthcare data infrastructure. The role involves building and maintaining scalable data pipelines and collaborating with various teams to ensure data quality and accessibility for clinical and operational decision-making. **

Salary

$71,059.66 + depending on qualifications; Not specified; Not specified

Skills & Requirements

Must-have

  • design and maintain data pipelines
  • build scalable ETL/ELT pipelines
  • optimize pipeline performance
  • build data infrastructure
  • configure cloud environments
  • implement schema design
  • enable analytics and data science
  • improve internal processes
  • collaborate across teams
  • ensure data governance and security

Nice-to-have

  • learn new technical skills quickly
  • solve difficult problems with effective solutions
  • cope with change effectively
  • work effectively with others
  • anticipate future consequences and trends

Key Requirements

  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics, or related field
  • at least 2 year(s) of experience in data engineering, architecture, or ETL development
  • Proficiency with big data tools (e.g., Hadoop, Spark, Kafka)
  • Experience with SQL and NoSQL databases
  • Skilled in data pipeline and workflow management tools
  • Familiarity with AWS services
  • Programming/scripting experience in Python, Java, C++, Scala, or similar
  • Master's Degree in Data Engineering, Computer Science, or related field
  • at least 5 year(s) of experience in healthcare data engineering or analytics
  • AWS Certified Data Analytics
  • Certified Health Data Analyst (CHDA)
  • Project Management Professional (PMP)

Work Rights

Not specified

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