Data Engineer II

Littleton, CO, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
USD 116,688.00 per year
Fitment

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Job Details

Skills

  • Satellite
  • Television
  • Internet
  • Apache Sling
  • Boost
  • Wireless Communication
  • 4G
  • IoT
  • Sensors
  • Real-time
  • Analytics
  • Wireless Networking
  • Network
  • Operations Support Systems
  • Business Support Systems
  • Machine Learning (ML)
  • Training
  • Data Storage
  • Apache Velocity
  • Cloud Computing
  • Provisioning
  • Orchestration
  • Continuous Integration
  • Continuous Delivery
  • Terraform
  • Data Flow
  • Telecommunications
  • Computer Science
  • Computer Engineering
  • Apache Kafka
  • Apache Spark
  • Streaming
  • PostgreSQL
  • NoSQL
  • MongoDB
  • Extract
  • Transform
  • Load
  • Python
  • Version Control
  • GitHub
  • Continuous Integration and Development
  • Linux
  • Artificial Intelligence
  • Management
  • Amazon Web Services
  • Amazon SageMaker

Summary

Company Summary

EchoStar is reimagining the future of connectivity. Our business spans satellite television service, streaming and on-demand programming, smart home installation services, 5G wireless consumer and commercial services, internet and other enterprise products.

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.

Job Duties and Responsibilities

Data Engineer II sought by DISH Wireless in Littleton, CO.

Maintain a CI/CD pipeline for our data software to ensure we keep quality high and time to market low. Develop, deploy, automate and maintain next generation AI/ML platform and pipelines. Ingest and process streaming data from telecom sources (5G/4G network logs, IoT sensors, edge devices) using platforms to enable near-real-time AI analytics. Lead large scale, data driven initiatives in order to drive enhanced visibility and quality of the wireless network. Design, build, and maintain scalable data pipelines to collect, process, and integrate large-scale telecom data (e.g., call detail records, network telemetry, OSS/BSS data, customer usage patterns). Implement feature engineering pipelines for AI/ML models, collaborating closely with data scientists to operationalize features for model training and inference. Optimize data storage and retrieval strategies for high-volume, high-velocity telecom datasets across cloud and edge environments. Automate infrastructure provisioning and orchestration for data and AI workloads using CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation).Monitor, troubleshoot, and optimize data pipelines to ensure low-latency, high-throughput data flows for AI-driven telecom applications.

Skills, Experience and Requirements

Requires: Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, or a closely related field plus 2 years of experience in job offered or similar roles. Also requires 2 years of experience with the following (which may have been gained concurrently): Kafka, Spark Streaming, PostgreSQL, NoSQL (MongoDB), ETL (Extract, Transform, Load) concepts, Python, Airflow, Source control Systems (Github), CICD Tools (Github CICD), Linux-like systems, AI Model Management Systems (Amazon Bedrock or Sagemaker).

Salary Ranges

Compensation: $116,688.00/Year
Benefits

Employment is contingent on successful completion of a pre-employment criminal background check, which may include a drug test.

Rate of Pay: $116,688.00/Year

Benefits information available at careers.dish.com.

Apply at careers.dish.com. Ref: 2026-98817 if applying externally through careers.dish.com; Ref: 2026-98816 if applying internally. May also apply by emailing resume with (Ref: 2026-98817) to 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120919
  • Position Id: 777f23e33a3b6614789f6f0ab27fb683
  • Posted 3 hours ago
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