Junior Data Engineer (Faculty Specialist)
About The Position
The A. James Clark School of Engineering at the University of Maryland is seeking an early career Data Engineer to join their Data Platform team within the Center for Advanced Transportation Technology (CATT) Laboratory. This role involves designing, developing, and supporting a variety of database instances, including relational, Cassandra, and Hadoop. The Data Engineer will apply their knowledge to create stable, secure, and reliable data platforms for custom data analytics applications, while also learning new skills and staying current with industry best practices and emerging technologies. The CATT Lab works with massive amounts of transportation data, providing analytics products and situational awareness tools to transportation practitioners. The team operates in an Agile environment and is composed of various specialists. The office is located in College Park, near the University of Maryland, with options for flexible schedules, in-office work, or fully remote work within the US. The University of Maryland emphasizes diversity and encourages applications from individuals of all backgrounds. This position offers the opportunity to work on complex data problems in the GIS domain with a research and development team.
Requirements
- B.S. Degree in Computer Science or related field
- Relevant academic or internship experience with design, development, and administration of data platform solutions
- Experience writing ETL scripts and standalone applications in Python and/or Java
- Expertise writing and tuning SQL queries
- Experience deploying, configuring, maintaining, and upgrading production-level database servers and services
- Must maintain a work presence within the United States for the duration of employment, including while performing remote work.
Nice To Haves
- Experience administering PostgreSQL servers, performance tuning, streaming replication, and PgBouncer failover configuration
- Experience with non-relational data storage and processing solutions like Cassandra, Hadoop, Spark, Iceberg, Sedona etc.
- Experience working with geospatial datasets, using geospatial extensions (such as PostGIS) and querying features.
- Experience with Linux (RHEL), including writing robust Bash scripts.
- Experience architecting and implementing backup and recovery strategies.
- Experience with Git, Jira, Confluence, and Bitbucket.
- Experience with cloud platforms including AWS and GCP.
Responsibilities
- Define, document, and test a wide variety of transportation data analytics and operations applications.
- Design, develop, and support over 40 relational database instances and distributed Cassandra and Hadoop instances.
- Apply knowledge, skills, and experience to create stable, secure, and reliable data platforms supporting custom data analytics applications.
- Learn new skills and stay current with industry best practices and emerging technologies.
Benefits
- For more information on Regular Faculty benefits, select this link.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
