Data Architect (assistant Research Engineer )

A. James Clark School of Engineering

College Park, Maryland, US
$165,000-$177,968.79; not specified; for more info...
Fully remote
Large-scale data processing pipelines
Geospatial data processing solutions
Data models and schemas
The A. James Clark School of Engineering at the University of Maryland is seeking a Data Architect (Assistant Research Engineer) to design and implement advanced data solutions for complex transportation data challenges. Ideal candidates should possess extensive experience in data architecture, leadership, and a strong background in technologies such as Apache Spark and geospatial data processing. The position offers remote work flexibility and the opportunity to contribute to impactful research and innovation

Job Summary

  • The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, delivering on a promise that all graduates will leave ready to impact the Grand Challenges (e.g., energy, environment, security, and human health) of the 21st century.
  • The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design.
  • We receive hundreds of gigabytes of transportation data daily, making our petabytes of archived data likely the largest collection of traffic data in the world.

Matching Summary

Match Score: 85

The A. James Clark School of Engineering at the University of Maryland is seeking a Data Architect (Assistant Research Engineer) to design and implement advanced data solutions for complex transportation data challenges. Ideal candidates should possess extensive experience in data architecture, leadership, and a strong background in technologies such as Apache Spark and geospatial data processing. The position offers remote work flexibility and the opportunity to contribute to impactful research and innovation.

Salary

$165,000-$177,968.79; Not specified; For more information on Regular Faculty benefits, select this link

Skills & Requirements

Must-have

  • large-scale data processing pipelines
  • geospatial data processing solutions
  • data models and schemas
  • ingest large datasets from APIs
  • Python and Java development
  • advanced knowledge of SQL

Nice-to-have

  • collaboratively solve complex data problems
  • building great software
  • mature development process
  • industry best practices
  • varied perspectives build better products
  • flexible schedule

Key Requirements

  • Doctoral Degree in Computer Science or Engineering
  • 20+ years experience architecting data platforms
  • 10+ years experience in a principal or lead role
  • 5+ years experience in a technical team leadership role
  • Experience with Apache Spark and Apache Beam
  • Experience with frontend user interface design
  • Ability to architect full stack feature

Work Rights

Must live in the US

Tailored Resume

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