Staff Engineer – Billing Operations

EchoStar • Centennial, CO

7d • Onsite

About The Position

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.

Staff Engineer – Billing Operations (Dish Network LLC, Englewood, Colorado)
Multiple positions available.

Requirements

• Bachelor’s degree or its U.S. equivalent in Computer Science, Data Science, Software Engineering, Information Technology, Systems Engineering or a related field, plus 6 years of professional experience as a Software Engineer, Data Engineer or any occupation, job title, position involving SQL development, data analysis, and business requirements analysis.
• 6 years of professional experience translating business and operational requirements from nontechnical stakeholders into technical specifications and communicating data findings and system behavior back to business audiences in clear, actionable terms.
• 5 years of professional experience working embedded within or in direct support of a business operations function, including end-to-end operational processes and applying that context to data engineering decisions.
• 5 years of professional experience designing data quality standards, producing process documentation and leading root cause analysis with awareness of operational impact and business urgency.
• 5 years of professional experience in database development, ETL processes, SQL development, and data management, including data modeling, query optimization, and troubleshooting complex data quality issues in production and non-production environments.
• 5 years of professional experience designing, developing, and supporting ETL pipelines and data integration processes using modern tools and frameworks (Including Snowflake, Airflow, or SQL Server).
• 5 years of professional experience utilizing Python and big data platforms (including AWS Athena or Snowflake) for data processing, automation, and analytical workflows.

Responsibilities

• Design enterprise data architecture solutions and conduct technical design sessions to support scalable data integration, governance, and reporting requirements (15% of the time).
• Develop, implement, and maintain data governance processes, including data quality rules, pipeline controls, audit mechanisms, and compliance standards to ensure accuracy and traceability of data (15% of the time).
• Provide technical guidance regarding enterprise data architecture, data modeling standards, data integration patterns, and scalable database design. (10% of the time).
• Define architecture standards and implementation frameworks for automated data pipelines and enterprise data solutions to improve operational efficiency (10% of the time).
• Define enterprise data architecture standards, technical specifications, and integration frameworks supporting long-term data management objectives. (5% of the time).
• Work with IT and engineering teams to resolve system dependencies, support integrations, and ensure successful delivery of technical solutions (5% of the time).
• Analyze Billing, Credit, and related data domains to identify data requirements, data quality gaps, integration requirements, and architecture improvement opportunities (5% of the time).
• Evaluate and implement tools, technologies, and methods based on system requirements, scalability, and technical performance (10% of the time).
• Assist team members in resolving complex technical issues and support adoption of new tools and technologies (5% of the time).
• Design and maintain enterprise data models, data structures, metadata standards, and storage architectures supporting Billing and Credit systems (2% of the time).
• Communicate project status, issues, and deliverables to stakeholders (2% of the time).
• Establish data validation standards, reconciliation methodologies, and quality control procedures for enterprise data environments (10% of the time).
• Troubleshoot data pipelines, workflows, and system issues to identify root causes and implement fixes. (2% of the time).
• Create and maintain data architecture documentation, data lineage documentation, data flow diagrams, and implementation specifications (2% of the time).
• Monitor data processes and resolve job failures and system issues to maintain consistent system operation (2% of the time).

Benefits

• Equal Employment Opportunity Employer
• Consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
• Accommodation for sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law.
• Consideration for employment in accordance with local, state, and federal law for applicants with arrest or conviction records.
• Redaction of information identifying age, date of birth, or dates of school/graduation from application documents.
• Reasonable accommodation for otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law.
• EEO Policy Statement
• Pay Transparency
• EEOC Know Your Rights (English/Spanish)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior