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.