Senior Data Engineer

UnitedHealth Group•Plymouth, MN
•$91,700 - $163,700

About The Position

Optum is seeking a Senior Data Engineer for security logging work. The role partners with Cyber Defense and Splunk teams to build, customize, and distribute security log solutions for on-premises and cloud systems. It works with security logging engineers and platform owners across the enterprise to provide support and education about platform security events, and to deliver reliable, efficient event pipelines for SIEM and long-term storage. The team uses shared workload software to support seamless workflows, quicker delivery, and focused partnerships. The position designs and develops log-solution technologies, especially LogBeats, LogStash, and Kafka, and creates log collection systems for on-premises and cloud environments including AWS, Azure, and GCP. It also supports pipeline monitoring and alerting, troubleshoots platform alerts and high-priority incidents, facilitates change requests, and develops knowledge of cloud technologies such as Terraform and AWS Lambda.

Requirements

  • Bachelor’s degree in computer science, information technology, or an engineering field.
  • At least 2 years of experience with LogStash, Kafka, and GitHub Operations.
  • At least 2 years of experience with Linux Server OS.
  • At least 2 years of experience with one cloud platform, preferably AWS, and Go language.
  • At least 1 year of experience working with basic Splunk search queries.

Nice To Haves

  • Proven ability to work on high- and low-level design.
  • Ability to work independently or as part of a team.
  • Excellent communication skills.
  • Good problem-solving attitude.
  • Excellent understanding of Amazon Kinesis Data Streams.
  • Advanced experience with RHEL Linux OS commands.

Responsibilities

  • Design and develop log-solution technologies, with a focus on LogBeats, LogStash, and Kafka.
  • Build, design, and develop log-collection systems for on-premises and cloud environments, including AWS, Azure, and GCP.
  • Build and support pipeline monitoring and alerting tools such as Splunk Monitoring and Grafana Monitoring as needed.
  • Respond to and troubleshoot platform alerts, high-priority incidents, and on-call alert pages.
  • Facilitate change requests, including pipeline deployments, upgrades, and break-fix work.
  • Create a training plan to build understanding of cloud technologies such as Terraform and AWS Lambda serverless computing, as well as other AWS, Azure, and GCP technologies.

Benefits

  • Comprehensive benefits package, subject to eligibility requirements.
  • Incentive and recognition programs, subject to eligibility requirements.
  • Equity stock purchase, subject to eligibility requirements.
  • 401(k) contribution, subject to eligibility requirements.
  • Career development opportunities.
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