Data Engineer

Department Summary:

We’re setting our sights on transforming America’s wireless mobile industry. We’re doing it by building the country’s first virtualized, standalone 5G broadband network from the ground up. The foundation of a connected world, it’s a network free of the limitations of the past, and flexible enough to satisfy all the social, economic, and transformative needs of the future.

It’s a blank slate — with the potential to foster some of the fastest, most agile technologies ever conceived. Transforming how people and things connect is only the first step. As part of the DISH Wireless 5G Network Team, the Data Engineer will join the team of passionate engineers with start-up spirit to test, deploy and debug DISH’s standalone 5G network.

Job Duties and Responsibilities:

Primary responsibilities fall into the following categories:

• Be a subject matter expert in data engineering designs and architecture.

• Ensure that solutions adhere to defined standards and best practices and/or assist in the development of these standards and best practices.

• Routinely research, analyze, test, retest, and troubleshoot complex problems.

• Able to work in a fast-paced environment, under pressure, with strict deadlines, both as an individual contributor and team player.

• Participate in knowledge transfer, documentation and information sharing while staying abreast of new technology/technical areas.

• Other duties as assigned.

Skills, Experience and Requirements:

A successful Data Engineer will have the following at a minimum:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical degree; four years related experience; or equivalent combination of education and experience

• 2 or more years experience in Big Data or data management systems

• Expert in data extraction, transformation, and loading via a combination of Kafka, Spark, and Python

• Expert in SQL-like query language and table design

• Background in development and ability to code and debug code

Preferred additional experience:

• Demonstrated experience building and managing a multi-tenant data infrastructure

• Demonstrated experience in programming using one or more of the following: Java, C, Perl, Python, or advanced Shell scripting.

• Demonstrated experience with one or more of the following: NiFi, Flink, Impala, Hive, Athena, Redshift, BigTable, ElasticSearch, or Airflow

• Experience in machine learning and statistical modeling

• Experience running systems both in public cloud (e.g. AWS, Azure, GCP) as well as private data centers

• Track record of practical problem solving, excellent communication, and documentation skills

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