CO Salary Range: USD 124,000.00 - 220,000.00 per year

This position is eligible for our Hybrid Work Policy. Eligible employees can work from home up to one day each week

JOB SCOPE

Reliability Engineering is developing and operating a new self service, event driven, infrastructure orchestration system that has enabled business-impacting self-service analytics, decision engineering support, machine learning, modeling, forecasting, and optimization. Create and maintain scalable, reliable, consistent and repeatable systems that support data operations and data engineering for Netops by receiving, processing, and monitoring raw data at scale through scripts, coding, web scraping, APIs, SQL queries, etc. Deliverables include profiles of data that measure quality, integrity, accuracy, and completeness of workflows. Success in the role requires managing the data lifecycle at scale of multiple data sources and increasing the speed to delivery by implementing automated workload and data workflow solutions.

• Manage and operate key data systems to ensure that all data feeds are processed in a timely manner and result in high quality data.
• Identify and resolve issues within the data operations feeds and processing.
• Profile data to measure quality, integrity, accuracy, and completeness of the workflows.
• Develop and implement tools, scripts, queries, and applications for ETL/ELT and data operations.
• Use a wide variety of open source technologies, platforms, tools, applications, and cloud services.
• Produce reports, notifications, and trends to uphold data delivery schedules.
• Deliver solutions by developing, testing, and implementing code and scripts.
• IP, DNS, DHCP, network, security, and operating system configuration, administration, and troubleshooting experience on Linux/Unix/CentOS, Windows, and macOS.
• Manage lifecycle of multiple data sources.
• Work closely with data demand stakeholders, such as analysts and data scientists.
• Work closely with data supply domain experts and the sources systems and platforms providing data.
• Build self-monitoring, robust, scalable interfaces, and data pipelines for 24/7 operations.
• Create highly reusable code modules and packages that can be leveraged across the data pipeline.
• Increase speed to delivery by implementing workload/workflow automation solutions.
• Demonstrate an ongoing focus on enabling key business results by balancing optimal technology solutions with the needs of stakeholders.
• Deliver results through caring about customers, using metrics-driven analysis, and communicating the costs and tradeoffs of ideas to stakeholders and top management.

• Bachelor's degree or computer science or engineering, analytics, or data science discipline
• Minimum ten (10) years of Hands-on working experience with RDBMS, SQL, scripting, and coding experience
• Minimum ten (10) years of- experience delivering one major system where candidate was responsible for designing the architecture, implementing, operating, and supporting
• Experience in maintaining and managing production-level data systems
• Ongoing learning demonstrated through certificates from professional studies, MOOCs, seminars, online courses, and any other deliverable mechanism

• Broad coding/scripting experience using Python, Perl, shell scripts, etc.
• Extensive experience with SQL in on-premises and cloud environments using MySQL, PostgreSQL, IBM DB2, Oracle, SQL Server, or Teradata.
• Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document
• Broad experience importing, exporting, translating, cleaning, and managing a wide range of file types,
• Broad experience creating and lifecycle-managing production-level Python scripts
• Expertise in data storage and/or data movement that demonstrates knowledge of when to use files, relational database, streaming, or NoSQL variant
• Ability to identify and resolve end-to-end performance, network, server, client, platform, and operating system issues
• Well organized with a keen attention to detail and the ability to effectively prioritize and execute multiple tasks
• Productive in a virtual and on-premises environment
• Expert with Microsoft Office applications or Linux/macOS equivalents and as a self-sufficient user of Windows, Linux, and macOS desktops

• Ten (10) years of Linux/Unix/CentOS and Windows system admin; macOS experience
• Master's degree in computer science or engineering, analytics, or data science discipline.
• Familiarity with JavaScript API, Rest API or Data Extract APIs
• Familiarity with data workflow/data prep platforms
• Familiarity with automation/configuration management using either Puppet, Chef, or equivalent
• Experience in and with IT or technical operations at scale in a production environment
• Knowledge of best practices and IT operations in an always-up, always-available service
• Experience receiving, converting, and cleansing big data
• Experience with visualization or BI tools, such as Tableau, Zoomdata, Microstrategy, or anything Microsoft Power BI
• Demonstrated success creating proof of concept experiments or using design of experiment for analytics, machine learning, or visualization tools that include hypothesis, test plans, and outcome analysis
• Development, lifecycle management, or operations experience in a DevOps environment
• Experience in an Agile environment
• Extensive background in Linux/Unix/CentOS, Windows Server, and Windows desktop support, installation, administration, and optimization; macOS experience
• Hadoop experience

• Office environment
  Charter Technical Engineering Center
  Highly collaborative and innovative work space
  Occasional Travel