• Job Description

  Req#: 90943
  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
  
  
  Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
  As a Big Data Engineer on our 5G Network Analytics team, you will be responsible for designing, building and managing data pipelines specifically tailored for artificial intelligence (AI) models.
  Priorities include ensuring high-quality data is readily available for training and deployment, data cleaning, transformation, integration, quality checks, and collaborating with AI engineers to optimize model performance.
  Key responsibilities of an AI data engineer:
  • Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources, optimizing for efficient AI model training.
  • Gather and understand data requirements, create and maintain automated ETL processes with special focus on data flow, error recovery, and exception handling and reporting
  • Support data and cloud transformation initiatives
  • Support our software engineers and data scientists
  • Understand the latest technologies in a rapidly innovative marketplace
  • Ability to work independently and with a team with all stakeholders across the organization to deliver enhanced functionality
  
  Skills, Experience and Requirements
  
  
  Education and Experience:
  • Bachelor's degree in computer science, or similar technical field
  • Minimum 5 years of experience in Big Data Engineering/Data Analysis
  Preferred Skills and Qualifications:
  • Proficiency in Python, SQL and Apache Spark
  • AWS services such as EMR, Glue (serverless architecture), S3, Athena, IAM, Lambda and CloudWatch
  • Core Spark, Spark Streaming, DataFrame API, Data Set API, RDD APIs & Spark SQL programming dealing with processing terabytes of data
  • Advanced SQL using Hive/Impala framework including SQL performance tuning
  • Expertise in Hadoop, and other distributed computing frameworks
  • ElasticSearch (OpenSearch) and Kibana Dashboards
  • Resource management frameworks such as Yarn or Mesos.
  • Physical table design in Big Data environment
  • External job schedulers such as autosys, AWS data pipeline, airflow etc.
  • Experience working in Key/Value data store such as Hbase
  
  Salary Ranges
  
  Compensation: $96,250.00/Year - $137,500.00/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.
  
  
  Education and Experience:
  • Bachelor's degree in computer science, or similar technical field
  • Minimum 5 years of experience in Big Data Engineering/Data Analysis
  Preferred Skills and Qualifications:
  • Proficiency in Python, SQL and Apache Spark
  • AWS services such as EMR, Glue (serverless architecture), S3, Athena, IAM, Lambda and CloudWatch
  • Core Spark, Spark Streaming, DataFrame API, Data Set API, RDD APIs & Spark SQL programming dealing with processing terabytes of data
  • Advanced SQL using Hive/Impala framework including SQL performance tuning
  • Expertise in Hadoop, and other distributed computing frameworks
  • ElasticSearch (OpenSearch) and Kibana Dashboards
  • Resource management frameworks such as Yarn or Mesos.
  • Physical table design in Big Data environment
  • External job schedulers such as autosys, AWS data pipeline, airflow etc.
  • Experience working in Key/Value data store such as Hbase
  
  
  Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
  As a Big Data Engineer on our 5G Network Analytics team, you will be responsible for designing, building and managing data pipelines specifically tailored for artificial intelligence (AI) models.
  Priorities include ensuring high-quality data is readily available for training and deployment, data cleaning, transformation, integration, quality checks, and collaborating with AI engineers to optimize model performance.
  Key responsibilities of an AI data engineer:
  • Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources, optimizing for efficient AI model training.
  • Gather and understand data requirements, create and maintain automated ETL processes with special focus on data flow, error recovery, and exception handling and reporting
  • Support data and cloud transformation initiatives
  • Support our software engineers and data scientists
  • Understand the latest technologies in a rapidly innovative marketplace
  • Ability to work independently and with a team with all stakeholders across the organization to deliver enhanced functionality

• About the company

  Our adventure began by changing the way people watched TV, bringing DISH to where big cable wouldn’t: rural America. Since then, we have reinvented ourselves and our own industry with SLING TV to give millions of consumers more choice in entertainment. Today, we’ve officially entered the consumer wireless industry as the fourth largest wireless provider with our acquisitions of Boost Mobile, Ting Mobile and Republic Wireless — but that’s just the start. We’re building America’s first cloud-native 5G network to transform the way we live, work and play with unlimited possibilities.

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