Data Engineer I
Department Summary
DISH is transforming the future of connectivity. We're doing it by building the country's first virtualized, standalone 5G wireless network from scratch. 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 changing world.
Job Duties and Responsibilities
A Data Engineer I with DISH Wireless will be directly working in environments supporting automated deployment and management on a cloud native environment. This role will work directly towards collecting, extracting, transforming and making available large amounts of data for observability, analysis, and increasing availability.
Day-to-day job responsibilities:
- Develop high-volume, low-latency, data-driven solutions utilizing current and next generation technologies to meet evolving business needs
- Acquire big data input from numerous partners. Key technologies may include Python, Airflow, Prometheus, and Kafka.
- Normalize complicated data sources to convert potentially unusable data into a format that can be efficiently used by software and/or employees. Key technologies may include Spark, Kinesis, Lambda
- Build a CI/CD pipeline for our data software to ensure we keep quality high and time to market low. Key technologies may include Gitlab.
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Skills, Experience and Requirements
Skills and experience
A successful Data Engineer I will have the following at a minimum:
- Bachelos'r degree in Computer Science, Computer Engineering, or a related technical degree
- 1 or more years experience in data streaming technologies, such as Kafka
- 1 or more years experience using ETL (Extract, Transform, and Load) concepts
- Experience with querying and designing databases using one or more of the following: MySQL, MS SQL, Oracle SQL, or other professional database system
- Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions
- Ability to assist in documenting requirements as well as resolve conflicts or ambiguities
Preferred qualification include:
- 3 or more years experience in programming using one or more of the following: Java, C++, Perl, Python, or advanced Shell scripting.
- 1 or more years of experience in implementing data-driven solutions using tools such as Hadoop, Impala, Hive, NiFi, Athena, Redshift, BigTable, or Airflow.
- 1 or more years experience in machine learning and statistical modeling
- Experience in Cloud Native tools, such as Kubernetes and Docker
- Experience with using the R statistical computing language
- Experience with Agile at Scale, SAFe, and Lean Systems Engineering
Salary Range
Compensation: $65,800.00/Year - $108,100.00/Year
Benefits
From versatile health perks to new career opportunities, check out our benefits on our careers website . Candidates need to successfully complete a pre-employment screen, which may include a drug test.