Advanced Data Engineer: Scalable ETL & Analytics Pipelines

Utah; Salt Lake City (UT); Presencial; USD 100.000 - 150.000; Jornada completa

Descripción de la vacante

University of Utah is seeking a data engineer to design, build, implement, and maintain data pipelines for ETL from diverse sources. You will develop scalable solutions, write complex SQL, and collaborate with engineers, data scientists, analysts, and product teams to translate requirements into robust data workflows.

Work with tools such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, and more to process structured and unstructured data across data

Formación

• Bachelor’s degree (or equivalent) in a related field.
• 8+ years of directly related work experience or 6+ years with a master’s degree.

Responsabilidades

• Design, build, implement, and maintain data processing pipelines for ETL from various sources.
• Write complex SQL queries to support analytics and collaborate with engineers, data scientists, and analysts.

Conocimientos

SQL

Python

ETL

Data pipelines

Educación

Bachelor’s degree or equivalent

Master’s degree or equivalent

Herramientas

SQL

Python

R

MongoDB

Redis

Hadoop

Spark

Hive

Scala

BigTable

Cassandra

Presto

Descripción del empleo

University of Utah is seeking a data engineer to design, build, implement, and maintain data pipelines for ETL from diverse sources. You will develop scalable solutions, write complex SQL, and collaborate with engineers, data scientists, analysts, and product teams to translate requirements into robust data workflows.

Work with tools such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, and more to process structured and unstructured data across data