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 Mobile and Gen Mobile.

Our Wireless Technology organization 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.

A Data Engineer 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:

• 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

Education and Experience:

• Bachelor's 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)

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. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

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.

Education and Experience:

• Bachelor's 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)

A Data Engineer 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:

• 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