Staff Engineer - Billing Operations

Staff Engineer Billing Operations (Dish Network LLC, Englewood, Colorado)

Multiple positions available. 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).Salary: $174,200 - $180,900 per year.

MINIMUM 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 an Software Engineer, Data Engineer or any occupation, job title, position involving SQL development, data analysis, and business requirements analysis.

Must also have experience in the following: 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.

CONTACT: Apply online at echostar.com/careers OR Email resume to View email address on click.appcast.io. Must specify REQ #: View phone number on click.appcast.io

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