Sr. Data Engineering Specialist
11304 St Louis MO Home Office, United States
USD 107K-195K Senior-level Full Time
Tasks
- Apply DevOps best practices
- Author and maintain technical documentation
- Collaborate with Agile scrum teams
- Containerize applications
- Create Kibana dashboards and visualizations
- Design and implement data enrichment pipelines
- Develop and manage Kafka system integrations with Elasticsearch and Logstash
- Ensure solutions meet DoD security standards and compliance
- Implement automated testing
- Integrate data sources into Confluent Kafka and Elastic
- Lead automation of software development lifecycle with CI CD
- Manage multi site Kafka and Elastic clusters
- Mentor junior engineers
- Monitor and mitigate technical risks
- Provide technical leadership in data engineering
- Serve as customer facing expert on network topology data
- Troubleshoot installation and infrastructure issues
Perks/Benefits
Skills/Tech-stack
Agile | Ansible | Artificial Intelligence | Bitbucket | CI/CD | Confluence | Confluent Kafka | Data Enrichment | Data Modeling | Data integration | DevOps | DoD Security | Docker | ETL | Elastic Stack | Elasticsearch | Git | HTML | Internet protocols | JMeter | JUnit | Java | JavaScript | Jenkins | Jira | KSQLDB | Kafka Connect | Kafka Streams | Kibana | Kubernetes | Linux | Logstash | Machine Learning | Networking | Power BI | Python | React | SQL | STIG | Scrum | Selenium | Tableau | Unix
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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