DISH, an EchoStar Company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America’s First Smart Network™.

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.

Our Wireless Technology organization is at the forefront of transforming connectivity for the future. We're pioneering the development of the nation's first virtualized, standalone 5G wireless network from the ground up. This network represents the cornerstone of a truly connected world, unbound by the constraints of the past and adaptable to meet the diverse and evolving needs of our rapidly changing society, economy and technology landscape.

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.

Key Responsibilities:

In this role, you will:

• 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

As a successful Data Engineer I, you will have:

Education and Experience:

• Bachelors degree in Computer Science, Computer Engineering, or a related technical degree; two years related experience; or equivalent combination of education and experience

Skills and Qualifications:

• Proficiency in data streaming technologies like Kafka and using ETL concepts.
• Strong programming skills in Java, C++, Perl, Python, or advanced Shell scripting.
• Experience in implementing data-driven solutions using tools such as Hadoop, Hive, NiFi, or Redshift.
• Proficient in querying and designing databases using MySQL, MS SQL, Oracle SQL, etc.
• Ability to collaborate in teams, clarify requirements, identify problems, and find creative solutions.
• Familiarity with Cloud Native tools (Kubernetes, Docker) and Agile methodologies (SAFe, Lean Systems Engineering).

#LI-CS6

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities and a flexible time away plan; all benefits can be viewed here: DISH Benefits .

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

As a successful Data Engineer I, you will have:

Education and Experience:

• Bachelors degree in Computer Science, Computer Engineering, or a related technical degree; two years related experience; or equivalent combination of education and experience

Skills and Qualifications:

• Proficiency in data streaming technologies like Kafka and using ETL concepts.
• Strong programming skills in Java, C++, Perl, Python, or advanced Shell scripting.
• Experience in implementing data-driven solutions using tools such as Hadoop, Hive, NiFi, or Redshift.
• Proficient in querying and designing databases using MySQL, MS SQL, Oracle SQL, etc.
• Ability to collaborate in teams, clarify requirements, identify problems, and find creative solutions.
• Familiarity with Cloud Native tools (Kubernetes, Docker) and Agile methodologies (SAFe, Lean Systems Engineering).

#LI-CS6

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.

Key Responsibilities:

In this role, you will:

• 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