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 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.

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.