**Company Summary** EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. **Department Summary** Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow. **Job Duties and Responsibilities** As a **Big Data Operations Engineer** you will play a crucial role in managing and optimizing the infrastructure and processes involved in handling large volumes of data. In this role your primary responsibility will be to ensure the smooth and efficient operation of big data systems, typically within organizations dealing with massive datasets. Key aspects of their role include designing, implementing, and maintaining scalable and reliable data architectures. **Key Responsibilities:** + Evangelist for data engineering function leveraging Big Data framework + Monitoring data pipeline + Support our software engineers and data scientists + Contribute to our cloud strategy based on prior experience + Independently work with all stakeholders across the organization to deliver enhanced functionality + Monitor Jobs using Oozie, Control M + Generate alerts for frequent job failures and come up with automation + Work with offshore team + Respond to emails, job failure within defined SLA **Skills, Experience and Requirements** **Education and Experience:** + Bachelor's degree or equivalent experience + 2+ years of experience in advanced Spark/Java programming. Specifically, monitoring Big Data data engineering jobs. + 2+ years SQL experience using Hive/Impala framework including SQL performance tuning **Skills and Qualifications:** + Must be from a Data warehouse/Big Data background. + Knowledge of using, setting up, and tuning resource management frameworks such as Yarn or Mesos + Experienced in production support for Big data pipelines, MapReduce framework, Oozie workflows, and scoop Jobs and external schedulers such as Autosys/Control-M + Experience in maintaining streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis + Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch **Salary Ranges** Compensation: $72,400.00/Year - $103,400.00/Year **Benefits** 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. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer - Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. We are a true merit-based organization and work hard so there are no artificial barriers to one's potential success. DISH is committed to a workforce where everyone's opportunities are limitless. Please note that you may redact or remove any information that identifies age, date of birth or dates of school attendance/graduation from your application documents before submission and throughout our interview process.