Data Engineer II

Company Summary

Echo Star 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 Echo Star, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and Gen Mobile.

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 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, Cloud Formation). Monitor, troubleshoot, and optimize data pipelines to ensure low‑latency, high‑throughput data flows for AI‑driven telecom applications.

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, Postgre

SQL, No

SQL (Mongo

DB), ETL (Extract, Transform, Load) concepts, Python, Airflow, Source control systems (Git Hub), CI/CD tools (Git Hub CI/CD), Linux‑like systems, AI model‑management systems (Amazon Bedrock or Sage Maker).

Compensation: $/Year

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