3 days ago
Greenwood Village, CO, USAStaff+
Base Salary
$111k - $196k/yr
Responsibilities
- Own the architecture, design, administration, optimization, and lifecycle management of enterprise Hadoop clusters and data platform services.
- Administer Hadoop ecosystem components including HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, and Impala.
- Define standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, security, and platform operations.
- Drive infrastructure optimization across storage, compute, workload management, job scheduling, provisioning, configuration, patching, upgrades, and decommissioning.
- Partner with data engineering, analytics, security, and infrastructure teams on data ingestion, processing, governance, and access patterns.
- Troubleshoot distributed-system, platform-performance, and production-stability issues; lead root cause analysis and preventive improvements.
- Evaluate cloud data platform migration and hybrid architecture strategies.
- Mentor engineers and administrators and provide technical leadership across platform operations and engineering initiatives.
- Maintain platform documentation, operational runbooks, architecture standards, data views, data exports, and automated data processing.
Requirements
- Bachelor's or master's degree in engineering or a related field, or related work experience.
- At least 5 years of engineering work experience and at least 5 years of project management work experience.
- Basic knowledge of IEEE, ANSI, fiber, bridging, switching, routing, Ethernet, transport technologies, network design, TCP/IP, the OSI Model, network devices, network appliances, ticketing tools, and Visio.
- At least 4 years of software development experience using Python or TypeScript.
- Experience with Django, Flask, FastAPI, shell scripting, networking concepts, system security best practices, and system monitoring.
- Experience managing systems in large-scale, highly available, multisite environments and working with DevOps practices and tools.
- Experience with Hadoop, PostgreSQL, MySQL, Splunk, Docker, and Kubernetes.
- Advanced knowledge of network automation, concurrent, parallel, and asynchronous programming, and RESTful API design and operation.
- Working knowledge of PEP8 programming practices and the ability to interpret and communicate RFC and IEEE standards.
- CCIE or other industry- and vendor-specific certifications and training, including Cisco, Juniper, or Alcatel-Lucent, is preferred.
Benefits
- Comprehensive pay and benefits package supporting employees' well-being.
- Office-based work environment.
- The posting remains open until September 11, 2026 at 4:00 AM UTC and may be extended if necessary.
Tech Stack
Apache HadoopApache HBaseApache HiveApache KafkaApache SparkDjangoDockerFastAPIFlaskKubernetesMySQLPostgreSQLPythonSplunkTypeScriptYarn
Categories
Data EngineeringDevOps
About Spectrum
Spectrum is a suite of advanced communications services offered by Charter Communications, Inc. (NASDAQ:CHTR), a leading broadband connectivity company available to more than 57 million homes and small to large businesses across 41 states. Founded in 1993, Charter has evolved from providing cable TV to streaming, and from high-speed Internet to a converged broadband, WiFi and mobile experience. Over the Spectrum Fiber Broadband Network and supported by our 100% U.S.-based employees, the Company offers Seamless Connectivity and Entertainment with Spectrum Internet®, Mobile, TV and Voice products. More information can be found at corporate.charter.com.