Senior Data Analytics Engineer

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
The Data Analytics Engineer is responsible for building the DISH Wireless Commercial data integrations and implementing the fully automated analytics modules catering to DISH business team needs and the analytics product offerings in the marketplace for Commercial customers. The engineer will focus on building the data pipelines, insights, KPIs, and metrics using the DISH Wireless data from BSS, OSS, NSS or external sources to business/partners/customers. This individual will play an active role in delivery and ensure alignment with the end-state architecture.
Key Responsibilities:

• Provide technical expertise in Streaming Analytics solutions across Wireless
• Understand business needs and analytics product offerings to design and build data and analytics solutions on Kafka and Elastic stack
• Analyze business and technical requirements
• Quickly build prototypes to test out proof-of-concepts
• Address technical concerns, ideas, and suggestions
• Assist in solving technical problems when they arise
• Monitor systems to ensure they meet the partner, user, and business goals
• Deliver solutions, features using agile delivery methodologies

Skills, Experience and Requirements
Education and Experience:

• 5+ years as a Data Analytics engineer in the real-time analytics and reporting for wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management, etc
• 5+ years of hands-on experience with the development and delivery of secure, reliable, and scalable big data solutions using agile methodologies

Skills and Qualifications:

• Experience in building big data and streaming data analytics solutions using Kafka and Elasticsearch
• Experience in builging highly performant SQL and Python-based solutions delivered using file feeds, Data-as-a-Service APIs, and BI tools like Kibana & Tableau
• Experience in data management and engineering capabilities
• Experience in cloud technologies (like AWS) and data analytics platforms
• Experience in delivering of self-service analytics, insights, KPIs, and metrics
• Experience working with cross-functional teams in a dynamic environment across different geographies and vendors
• Experience building and maintaining a data catalog with a dictionary
• Experience with scheduling tools like Control-M or Airflow
• Experience with high-performance/scalable computing using Spark or Kubernetes
• Experience with Modern Data Warehouses like Snowflake
• Ensure compliance on all deliverables by performing data audits and analysis
• Excellent written/verbal communication skills
• Strong analytical and problem-solving skills
• Ability to adapt and deep dive into new technologies
• Strong desire to learn new things and continually improve

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.