Data Engineer II

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 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 team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
Key Responsibilities:

• Develop and apply statistical models and machine learning algorithms for 5G transport network optimization.
• Partner with business teams to deliver analytical insights and data solutions.
• Leverage AWS services to design, build, and optimize data engineering pipelines and workflows.
• Support day-to-day operations, including documentation, monitoring, and issue resolution.
• Develop predictive models, AI chatbots, and other advanced analytics solutions for key business use cases.
• Drive data and cloud transformation initiatives, contributing to overall cloud strategy through prior experience.
• Analyze large datasets to uncover insights and optimize complex SQL queries for scalable data retrieval.
• Design and maintain scalable data pipelines using tools like Apache Airflow and Databricks for transport network data.
• Collaborate with stakeholders to translate transport network needs into actionable data science tasks to deliver enhanced functionality and continuous improvement.
• Mentor team members and present insights through reports and visualizations using tools like Tableau and Grafana.
• Stay updated on industry trends and propose new methodologies for advancing data science in 5G transport technology.

Skills, Experience and Requirements
Education and Experience:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience
• 3+ years of experience as a Data Engineer or in a similar role, with a proven track record of leading complex projects and delivering impactful results

Skills and Qualifications:

• Proficiency in programming languages such as Python, R, or SQL
• Minimum of 3 years of experience delivering data solutions on a variety of data warehousing platforms
• Knowledge of building data ingestion pipelines both real time and batch using best practices
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn)
• Experience with AWS data services including S3, Redshift, SageMaker, and Glue
• Strong problem-solving skills with a creative and analytical mindset
• Excellent communication and presentation skills, with the ability to convey complex technical information to a diverse audience
• Proven ability to work collaboratively in a fast-paced, cross-functional team environment

Visa sponsorship not available for this role
Salary Ranges
Compensation: $83,160.00/Year - $118,800.00/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.
This will be posted for a minimum of 3 days or until the position is filled.