Data Reliability Engineer
Vytalize Health
WorldwideFully remoteFull TimeIntern, Junior, Mid LevelInformation Technology
Posted 3 months ago3mo agoApply link checked 7 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 3 months ago · apply link checked 7 hours ago
About the role
Responsibilities
- Own and improve the reliability of data pipelines across ingestion, transformation, and delivery layers
- Establish and maintain data reliability standards including SLIs, SLOs, and SLAs
- Design and maintain monitoring, logging, and observability frameworks for data pipelines and datasets
- Implement data quality testing and validation frameworks using golden datasets and regression tests
- Lead incident response, including detection, triage, root cause analysis, and post-incident remediation
- Leverage ML and AI-assisted tools for anomaly detection, drift detection, and schema validation
- Partner with Data Engineering, DevOps, and Product teams to harden pipelines and infrastructure
- Ensure data reliability practices align with healthcare security, privacy, and compliance requirements
Requirements
- 5+ years of experience with data platforms, pipelines, or distributed data systems in production
- 1+ years of experience with machine learning-based monitoring or AI-assisted observability tools
- Proven experience improving system reliability with measurable SLI/SLO/SLA improvements
- Proficiency in Python and SQL
- Experience with cloud-based data platforms such as AWS or Databricks
- Expertise with workflow orchestration tools like Airflow or Databricks Workflows
- Strong understanding of modern data architectures and lakehouse patterns
- Bachelor's degree in Computer Science, Engineering, or a related field
Preferred Qualifications
- Experience with healthcare data standards such as FHIR, HL7, or CCD
- Hands-on experience with ML-based anomaly detection frameworks
- Experience using LLMs or AI-assisted tools like GitHub Copilot or Claude Code for development
- Experience with observability platforms like Datadog, New Relic, or PagerDuty
- Background in a startup or high-growth environment
About the Company
Vytalize Health focuses on mission-critical healthcare data, ensuring accuracy and reliability for internal and external consumers within a regulated environment.
What we look for
- 5+ years data platform experience
- 1+ years ML-based monitoring experience
- Proficiency in Python and SQL
- Experience with AWS or Databricks
- Knowledge of SLIs, SLOs, and SLAs
PythonAWSSQLAirflowDatabricks
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Vytalize Health
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