Negotiable
Outside
Remote
USA
Summary: The Observability Engineer role focuses on enhancing data reliability and observability through the use of various tools and principles. The position emphasizes the integration of ETL processes, monitoring data movement, and applying SRE principles to ensure system reliability. Candidates should possess strong technical skills in observability tools and data engineering practices. This role is remote and requires a proactive approach to managing vendor-driven changes and maintaining observability coverage.
Key Responsibilities:
- Implement observability engineering practices using metrics, logs, and traces.
- Monitor and troubleshoot data movement across various environments (SAAS, hybrid, on-prem).
- Support vendor-driven change management and maintain observability coverage.
- Visualize and monitor complex data flows across multiple systems.
- Manage ETL processes and ensure data quality and lineage.
- Work with cloud and platform engineering technologies, including Openshift and Kubernetes.
- Utilize scripting and automation tools to enhance operational efficiency.
Key Skills:
- Strong experience with observability tools (Grafana, Splunk, Prometheus).
- Familiarity with distributed tracing (Appd, OpenTelemetry).
- Proficiency in scripting (Python, Bash) and automation (Ansible).
- Experience with ETL and integration processes.
- Understanding of microservices, API integrations, and event-driven architecture.
- Knowledge of cloud environments and CI/CD pipelines.
- Strong database skills (Oracle, SQL Server, PostgreSQL, MongoDB).
- Knowledge of data governance and compliance frameworks.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Observability Engineer Location: Remote, USA
Data Reliability Engineer with ETL- Informatica
Data Observability engineer/ Data SRE rather than a traditional SRE.
Observability engineering (metrics/logs/traces, tooling like Grafana/Splunk/OTel/Prometheus)
Data engineering visibility (ETL, lineage, data movement monitoring)
SRE principles (incident response, RCA, automation, reliability)
Hybrid/SaaS/on-prem integration monitoring
Vendor-driven change management
Tech Skills: JD
1. Strong experience with observability tools (Grafana / Splunk / Prometheus)
Familiarity with distributed tracing (Appd, OpenTelemetry)
Proficiency in scripting (Python, Bash) and automation (ansible)
2. ETL and Integration experience
Strong understanding of data lineage, data quality, multi step integration orchestration
Familiarity with microservices, API integrations, event driven architecture, Kafka/MQ
monitor and troubleshoot horizontal data movement across SAAS, hybrid, on-prem
Ability to visualize and monitor complex data flows across multiple systems
3. SAAS Platform support
Experience managing SAAS-to-SAAS internal to external, and vendor to in-house integrations
Ability to support vendor driven changes and maintain observability coverage
4. Cloud and Platform engineering
Openshift, Kubernetes and containerized environments
Familiarity with CI/CD pipelines
5. Database & SQL
Oracle, SQL Server, PostgreSQL, MongoDB
Strong knowledge of data governance and compliance frameworks