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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer, Data - FreeWheel - **Company:** Comcast - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $99,685.0 - $149,527.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Amazon S3, Microsoft Azure, Big Data, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Software Debugging, DevOps, Disaster Recovery, Distributed Data Store, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, Monitoring of Systems, Python (Programming Language), PostgreSQL, MySQL, NoSQL, Performance Tuning, Reliability Engineering, Ansible, Prometheus, DataOps, Software Engineering, Software Testing Automation Framework, Data Streaming, Aerospike, Data Storage Technologies, System Availability, Snowflake, Grafana, Apache Spark, Software Troubleshooting, Reliability of Systems, Backend, Containerization, Kubernetes, Information Technology, Cassandra, Apache Kafka, Data Management, Terraform, Data Pipelines, Docker, Elk Stack, Golang, Programming Languages, Microservices - **Published:** October 5, 2026 - **Apply:** https://dejobs.org/x/x/FB38B9CA33D6402A82E459B7014C3496/job/ ## About the Role * Education: Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. * Experience: At least 5+ years of experience as an SRE,DevOps, or Data Operations Engineer.Experience with cloud platforms (e.g.AWS,GCP,Azure)Familiarity with modern data architectures and technologies, including big data platforms (e.g., Kafka, Hadoop, Spark), distributed storage (e.g., Cassandra, HDFS, AWS S3), etc.Extensive experience in data base management (e.g.,NoSQL databases, MySQL, PostgreSQL).Proficiency in automation tools and frameworks (e.g., Ansible, Terraform , Kubernetes , Docker) for automating data system deployment and maintenance.Familiarity with modern CICD pipeline. * Programming Skills: Proficient in at least one programming language, such as Python, Go, Java, or Scala, with the ability to write efficient scripts and automation tools. * System Monitoring and Log Management: Familiar with using monitoring and log management tools such as Prometheus, Grafana, ELK Stack, or other similar tools. * Troubleshooting and Debugging: Strong debugging and troubleshooting skills, with the ability to quickly identify and resolve production issues. * Team Collaboration and Communication: Excellent communication skills with the ability to convey technical information clearly and concisely to both technical and non-technical stakeholders. Bonus Skills : * Experience with Aerospike, Kafka, Snowflake and other big data tech stack. * Familiarity with containerization, micro-services architecture. * Experience in designing and maintaining large-scale distributed systems. * Experience in data quality management, data governance, or ETL pipelines. * Experience in audience targeting and Identity services product support., Kubernetes; Terraform (Software); Big Data, Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years ## Description FreeWheel is seeking an SRE talent to join Freewheel Data SRE team based in Reston/Chicago. As a member of the Global Operation team, you will be responsible for ensuring the reliability, scalability, and performance of our data systems. Working closely with data engineers and other operation sub-teams, you will manage our data infrastructure, optimize system reliability, automate daily operations, and resolve technical issues that impact our data pipelines and backend data platforms., * System Monitoring and Optimization: Design and implement monitoring and alerting systems to ensure the stability, reliability, and performance of data platforms. Quickly respond to and resolve issues impacting data pipelines or storage layers. * Automation and Tool Development: Develop and maintain automation tools and scripts for deployment, monitoring, backup, recovery, and disaster recovery of data systems. * Performance Optimization: Analyze and optimize the performance of data storage, query performance, and data flows to ensure efficient processing of large-scale datasets, reduce latency, animprove processing speed. * Incident Response and Troubleshooting: Respond quickly to data platform failures, perform troubleshooting, and coordinate cross-team efforts to resolve issues and ensure high availability and reliability of data. * Capacity Planning and Scaling: Work with data engineering teams to analyze and forecast capacity requirements, ensuring the system can handle data growth and scale infrastructure accordingly. * Documentation and Knowledge Sharing: Document the architecture, configurations, and operational procedures for data platforms, ensuring knowledge is shared across the team and providing relevant training. * Security and Compliance: Ensure data platforms meet security standards and compliance requirements to prevent data breaches or misuse. * Cross-Team Collaboration: Collaborate with data science, product, and development teams to support data product design and implementation, solving reliability-related issues.