Site Reliability Engineer, Data

Comcast

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Reston, VAChicago, IL
Salary
$109,178–$163,767 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k
This role $136k
$95k most similar roles pay here $238k

This role pays less than 80% of similar roles. Most pay $142,500–$214,000 — the shaded band above. At the midpoint, this role pays about $136k versus about $178k for comparable roles.

Based on 238 similar postings.

Employer

About Comcast

Comcast is an American telecommunications and media conglomerate, providing cable TV, internet, and phone services under the Xfinity brand, and owning NBCUniversal.

Comcast currently has 72 open roles on FindRole.

Listed pay typically runs $141,850–$203,546 across 63 roles with salary data.

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View all roles at Comcast

At a glance

TL;DR · Site Reliability Engineer, Data

Site Reliability Engineer, Data - FreeWheel joins the Global Operation team to ensure the reliability, scalability, and performance of data systems. This role involves managing data infrastructure, optimizing system reliability, automating daily operations, and resolving technical issues impacting data pipelines and backend platforms. You will design monitoring and alerting systems, develop automation tools for deployment and disaster recovery, perform capacity planning, and manage security compliance. The work focuses on the core problem of maintaining high availability for large-scale distributed systems and processing complex datasets efficiently. Required skills include experience with AWS, NoSQL databases, MySQL, or PostgreSQL; proficiency in Ansible, Terraform, Kubernetes, and Docker; and programming expertise in Python, Go, Java, or Scala. You will also utilize Prometheus, Grafana, and the ELK Stack to monitor performance and manage data quality within ETL pipelines.

What does a Site Reliability Engineer earn?

Median $187850 from 131 postings across 42 companies.

See salary data

What you'll do

  • Design and implement monitoring and alerting systems to ensure data platform stability and performance.
  • Develop and maintain automation tools for deployment, backup, recovery, and disaster recovery of data systems.
  • Analyze and optimize the performance of data storage, query execution, and large-scale data flows.
  • Respond to and resolve technical issues impacting data pipelines and backend infrastructure.
  • Forecast capacity requirements and scale infrastructure to accommodate growing data volumes.
  • Document architecture, configurations, and operational procedures for internal knowledge sharing.
  • Ensure all data platforms meet security standards and compliance requirements.

What we're looking for

  • At least 5 years of experience as an SRE, DevOps, or Data Operations Engineer.
  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Extensive experience in database management including NoSQL databases, MySQL, and PostgreSQL.
  • Proficiency in automation tools and frameworks like Ansible, Terraform, Kubernetes, and Docker.
  • Strong experience with modern CI/CD pipelines.
  • Programming skills in Python, Go, Java, or Scala to write efficient scripts and automation tools.
  • Experience using monitoring and log management tools such as Prometheus, Grafana, and ELK Stack.
  • Experience designing and maintaining large-scale distributed systems (preferred).
  • Experience in data quality management, data governance, or ETL pipelines (preferred).

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