Senior Data Engineer

Department Summary

DISH is a Fortune 200 company that continues to redefine the communications industry. 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.

We are driven by curiosity, pride, adventure, and a desire to win – it’s in our DNA. We’re looking for people with boundless energy, intelligence, and an overwhelming need 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

The DISH Sling IT Digital Solutions team is looking for a Senior Data Engineer who will work collaboratively with internal teams and external partners to design, develop, and maintain tools and automation workflows to drive our highly lucrative and rewarding business.

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.

Work attire: Business Casual

Working hours: This is a full-time position: 40 hours/week. Days and hours of work are typically Monday through Friday; 8:00 a.m. to 5:00 p.m. or 9:00 a.m. to 6:00 p.m. 

Skills, Experience and Requirements

Experience: 4+ years of professional enterprise experience in building data engineering pipelines in distributed platforms such as Hadoop or Spark.

Education: Bachelor's degree in a quantitative field, or equivalent experience. Preferred fields of study include computer science, information technology, or applied mathematics. 

Skills:

• Proficiency in working with big data, both structured and unstructured.
• Background in a cloud environment like AWS, Azure or Google Cloud
• Experience working with containerization platforms (Docker, Kubernetes)

Preferred qualifications:

• Experience participating in agile methodologies.

• Preferred languages include Python, SQL, and Spark variants (PySpark; Scala).

• Proficiency in full ETL stack in a cloud environment.

Salary Range

Compensation: $106,250.00/Year - $162,500.00/Year
Compensation and Benefits

We also 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.