ETL Site Reliability Engineer

About the role

The ETL Site Reliability Engineer will be responsible for ensuring the reliability and performance of data pipelines and integrations within a hybrid cloud environment. This role requires a deep understanding of observability, data engineering, and SRE principles.

Responsibilities

• Monitor and troubleshoot horizontal data movement across SAAS, hybrid, on-prem environments.
• Implement and maintain observability tools such as Grafana, Splunk, and Prometheus.
• Develop and manage ETL processes to ensure data quality and lineage.
• Collaborate with cross-functional teams to design and implement robust data integration solutions.
• Support vendor-driven changes and ensure continuous observability coverage.
• Ensure compliance with data governance and regulatory standards.

Requirements

• Mandatory skills as listed above.
• Experience with CI/CD pipelines and database technologies (Oracle, SQL Server, PostgreSQL, MongoDB).
• Strong understanding of microservices, API integrations, and event-driven architectures.
• Familiarity with OpenShift, Kubernetes, and containerized environments.

Qualifications

• BS/MS in Computer Science, Information Technology, or related field.
• Minimum 5 years of relevant experience in data engineering, SRE, or similar roles.

Skills

• 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.
• Strong experience with observability tools (Grafana / Splunk / Prometheus).
• Familiarity with distributed tracing (Appd / OpenTelemetry).
• Proficiency in scripting (Python, Bash) and automation (ansible).
• 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.
• Cloud and Platform engineering (OpenShift, Kubernetes, containerized environments).
• Strong knowledge of data governance and compliance frameworks.

Benefits

Competitive hourly rate based on experience.

Pay

Depending on experience (DOE)

Schedule

Full-time

Benefits

Health insurance, retirement plan, paid time off, professional development opportunities.

Contact

To apply, please visit our website and submit your resume. No phone calls please.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.