Job Location: Denver, CO
Department Summary:
Who We are:
Who We are:
DISH is a Fortune 250 company that continues to redefine the communications industry, with more than $12 billion in annual revenue. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service – Sling TV – that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television. Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers.
A key part of our initiative is a strategic focus on Blockchain technology to help enable growth across all our lines of business.
We are driven by curiosity, pride, adventure, and a desire to win. We’re looking for people with energy, intelligence, and an overwhelming desire to achieve to join our team as we embark on the next chapter of our story.
Opportunity is here. We are DISH.
Job Duties and Responsibilities:
Primary responsibilities
- Perform complex data operations on large volumes of data at scale
- Be a driver for the introduction and adoption of new technologies
- Help lead the expansion of scalable data science products throughout the enterprise
- Building scalable systems for automation of data integrity monitoring and validation
- Collaborate with multiple teams consisting of both technical and non-technical users of data
Skills, Experience and Requirements:
A good candidate will have the following qualifications
- 2+ years of professional enterprise experience in building data engineering pipelines in distributed platforms such as Hadoop or Spark.
- Experience in working with big data, both structured and unstructured
- Experience in a cloud environment like AWS, Azure or Google Cloud
- Experience working with containerization platforms (Docker, Kubernetes)
Preferred qualifications & Skills
- A 4-year college degree in a quantitative field. Preferred fields include computer science, information technology, or applied mathematics.
- Experience participating in agile methodologies.
- Preferred languages include Python, SQL, and Spark variants (PySpark; Scala).
- Proficiency in full ETL stack in a cloud environment
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Benefits:
From versatile health perks to new career opportunities, check out our benefits on our careers website.
Employment is contingent on Successful completion of a pre-employment screen, which may include a drug test.
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Salary Range: USD $108000.00 – $124200.00 / Year
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