Principal Data Platform Engineer

Requirements:

• We require the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
• We require a masters or bachelors degree in engineering or a related field, or equivalent related work experience.
• We require 5+ years of engineering work experience.
• We require 5+ years of project management work experience.
• We require the ability to read, write, speak, and understand English.
• We expect basic knowledge of industry specifications and standards such as IEEE, ANSI, fiber, bridging, switching, routing, Ethernet, and transport technologies and protocols.
• We expect basic knowledge of network design, network architecture, protocols, and network topology.
• We expect basic knowledge of TCP/IP and the OSI model.
• We expect basic knowledge of ticketing and software tools used to support current operations.
• We expect basic knowledge of network devices and basic network appliances.
• We expect basic knowledge of network design software such as Visio.
• We require the ability to work in a fast-paced environment and learn new technology quickly.
• We require the ability to use a personal computer and software applications.
• We prefer a CCIE certification.
• We prefer industry- and vendor-specific certifications and training, such as Cisco, Juniper, and Alcatel-Lucent.
• We prefer at least 4 years of software development experience using Python or TypeScript.
• We prefer experience with Django, Flask, or FastAPI.
• We prefer experience with shell scripting, TCP/IP and networking concepts, system security best practices, and system monitoring.
• We prefer experience managing systems in a large-scale, high-availability, multi-site environment.
• We prefer experience working with DevOps practices and tools.
• We prefer experience with Hadoop and other database technologies such as PostgreSQL, MySQL, and Splunk.
• We prefer experience with container technologies such as Docker and Kubernetes.
• We prefer additional industry and vendor-specific certifications or training in Python, DevOps, or network technologies.
• We prefer advanced knowledge of network automation platforms and techniques.
• We prefer advanced knowledge of concurrent, parallel, and asynchronous programming design and techniques.
• We prefer advanced knowledge of RESTful API design, operation, and interaction.
• We prefer working knowledge of PEP 8 programming practices.
• We prefer the ability to read, understand, and clearly communicate RFC and IEEE standards and concepts.

Responsibilities:

• We own the architecture, design, and lifecycle management of enterprise Hadoop clusters and supporting data platform services.
• We lead administration of Hadoop ecosystem components such as HDFS, YARN, Hive, HBase, Spark, Kafka, Oozie, ZooKeeper, Impala, and related tools.
• We define platform standards for availability, performance, capacity planning, disaster recovery, backup, monitoring, and security.
• We drive infrastructure optimization across storage, compute, workload management, and job scheduling.
• We establish best practices for cluster provisioning, configuration management, patching, upgrades, and decommissioning.
• We partner with data engineering, analytics, security, and infrastructure teams to support data ingestion, processing, governance, and access patterns.
• We troubleshoot complex platform, performance, and production stability issues across distributed systems.
• We lead root cause analysis and implement preventive measures to improve resiliency and service quality.
• We evaluate and guide migration or coexistence strategies involving cloud data platforms and hybrid architectures.
• We mentor engineers and administrators by providing technical leadership across platform operations and engineering initiatives.
• We create and maintain platform documentation, operational runbooks, and architecture standards.
• We create and maintain data views, data exports, and automated data processing.

Technologies:

• API
• Big Data
• Cloud
• Cisco
• DevOps
• Django
• Docker
• Ethernet
• FastAPI
• Flask
• Hadoop
• Hive
• Support
• Kafka
• Kubernetes
• Mobile
• MySQL
• Network
• PostgreSQL
• Python
• Security
• Spark
• Splunk
• TCP/IP
• TypeScript
• Yarn
• ZooKeeper

More

We are Charter Communications, serving millions of customers across the U.S. through the Spectrum brand with internet, TV, mobile, voice, local news, programming, regional sports, and multiscreen advertising solutions. This Principal Engineer role sits within our Network Engineering team and is focused on the architecture, engineering, administration, and strategic evolution of our Hadoop-based big data platform. We offer a comprehensive pay and benefits package, a current base pay range of $110,800 to $196,400, and a workplace that supports career growth, employee well-being, and advancement opportunities. The role is based in an office environment, and we are committed to equal opportunity employment.

last updated 43 week of 2026