Senior Data Engineer

EchoStar

$147K — $158K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Information Technology, or related field
  • 4 years of experience in Software Engineering or related roles applying ETL concepts
  • 3 years of experience with real-time or near-real-time data streaming solutions, including Kafka
  • 3 years of experience with cloud-based data platforms and infrastructure
  • 2 years of experience in CI/CD workflows and version control using GitLab

Responsibilities

  • Design, develop, and support cloud-native systems for data processing and management
  • Mentor junior engineers and apply technical expertise to complex challenges
  • Process streaming data from telecom sources using technologies like Kafka and Spark Streaming
  • Contribute to large-scale data initiatives for enhanced network visibility and quality
  • Develop scalable data pipelines for telecom data integration
  • Establish standards for the design and maintenance of advanced data analytics solutions
  • Automate infrastructure provisioning for data and AI workloads using Terraform and CloudFormation

Benefits

  • Eligible for incentives under the Employee Referral Program
Full Job Description
Job Duties and Responsibilities

Senior Data Engineer (Dish Wireless LLC, Littleton, Colorado)

Multiple positions available. Design, develop, and support cloud-native systems that enable automated deployment and management of applications, including collecting, extracting, transforming, and making available large volumes of data to support observability, system analysis, and service availability (10% of the time). Mentor junior engineers and new team members, and apply technical expertise to challenging programming and design problems (15% of the time). Perform processing of streaming data from telecom sources (5G/4G network logs, IoT sensors, edge devices) using platforms like Kafka, Spark Streaming, and Flink to enable near-real time AI analytics (15% of the time). Contribute to large scale, data driven initiatives to drive enhanced visibility and quality of the wireless network (10% of the time). 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) (5% of the time). Develop high-volume, low-latency, data-driven solutions utilizing current and next generation technologies to meet evolving business needs (5% of the time). Establish standards and guidelines for the design & development, tuning, deployment and maintenance of information, advanced data analytics, and text mining models and physical data persistence technologies (10% of the time). Acquire big data input from numerous partners; key technologies may include Python, Mimir, Loki, Prometheus, and Kafka (5% of the time). Normalize complicated data sources to convert potentially unusable data into a format that can be efficiently used by software and/or employees; key technologies may include Spark, Scala, Lambda (5% of the time) Maintain a CI/CD pipeline for data software to ensure high quality and low time to market; key technologies may include Gitlab, Airflow, Ansible (10% of the time). Automate infrastructure provisioning and orchestration for data and AI workloads using CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation) (10% of the time). Salary: $147,701 - $158,125 per year.

LOCATION: Dish Wireless LLC

5701 S. Santa Fe Drive, Littleton, Colorado 80120

CONTACT: Apply online at echostar.com/careers OR email resume to [email protected]. Must specify REQ #: 2026-99699

Skills, Experience and Requirements

Bachelor's degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or related field, plus 4 years of professional experience as a Software Engineer, Software Developer, or any occupation/job title/position applying ETL concepts to integrate, normalize, and process data from multiple sources to support system monitoring, observability, and analysis.

Must also have experience in the following: 4 years of professional experience collaborating with cross-functional technical teams to gather requirements, clarify system needs, document solutions, and resolve technical issues or ambiguities. 3 years of professional experience developing and supporting real-time or near-real-time data streaming solutions, including use of streaming technologies (including Kafka) to ingest and process network telemetry or operational data. 3 years of professional experience designing, deploying, and supporting cloud-based data platforms and infrastructure. 3 years of professional experience working with telecommunications cloud infrastructure, including deployment and support of telco cloud architectures, network functions, and distributed containerized cloud platforms for 5G or edge systems (including WindRiver Studio Cloud Platform). 3 years of professional experience using data processing engines, including Apache Spark, to transform and analyze large-scale datasets. 3 years of professional experience utilizing monitoring, observability, and visualization tools, including Grafana, Prometheus, and PostgreSQL, and application or services monitoring tools (including Datadog), to monitor system performance, availability, and fault conditions. 2 years of professional experience using version control and collaboration tools, including GitLab, to manage code artifacts and support CI/CD workflows. 2 years of professional experience using cloud platforms, including AWS (including S3, Athena, CloudWatch, Redshift, AppFlow, and CodeCommit), to collect, process, store, and monitor large volumes of operational and network-related data.

Salary Ranges

Compensation: $147,701.00/Year - $158,125.00/Year
Benefits

Apply online at echostar.com/careers OR email resume to [email protected]. Must specify REQ #: 2026-99699.

This position is eligible for incentives under the Employee Referral Program.

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