Data Engineer I

eureka.utexas.edu

AUSTIN, TX, US
$71,059.66 + depending on qualifications; not spec...
**
Healthcare system data
Data pipeline architecture
Scalable data infrastructure
** The University of Texas at Austin is seeking a Data Engineer I to expand and optimize its healthcare data infrastructure. The role involves collaborating with various teams to ensure data quality and accessibility while supporting 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 role designs, builds, and maintains scalable data infrastructure to support clinical, operational, and strategic decision-making.
  • The Data Engineer collaborates with data scientists, analysts, software engineers, and clinical informatics teams to ensure data quality, security, and accessibility.

Matching Summary

Match Score: 75

** The University of Texas at Austin is seeking a Data Engineer I to expand and optimize its healthcare data infrastructure. The role involves collaborating with various teams to ensure data quality and accessibility while supporting clinical and operational decision-making. **

Salary

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

Skills & Requirements

Must-have

  • healthcare system data
  • data pipeline architecture
  • scalable data infrastructure
  • ETL/ELT pipelines
  • SQL and AWS big data technologies
  • HIPAA and regulatory standards
  • cloud-based storage and compute environments
  • data governance and security protocols

Nice-to-have

  • technical learning agility
  • rigorous problem solving
  • high level functional/technical skills
  • coping with ambiguity
  • effective collaboration
  • strategic foresight

Key Requirements

  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics, or related field
  • 2+ years of experience in data engineering, architecture, or ETL development
  • Proficiency with big data tools (Hadoop, Spark, Kafka)
  • Experience with SQL and NoSQL databases
  • Skilled in data pipeline and workflow management tools
  • Familiarity with AWS services (EC2, EMR, RDS, Redshift, Glue, DynamoDB)
  • Programming/scripting experience in Python, Java, C++, Scala, or similar
  • Master's Degree in Data Engineering, Computer Science, or related field (preferred)
  • 5+ years of experience in healthcare data engineering or analytics (preferred)
  • AWS Certified Data Analytics (preferred)
  • Certified Health Data Analyst (CHDA) (preferred)
  • Project Management Professional (PMP) (preferred)

Work Rights

Not specified

Tailored Resume

Cover Letter