ETL Site Reliability Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an ETL Site Reliability Engineer in Charlotte, NC for a 24-month plus extension engagement. The role emphasizes observability, data pipelines, and hybrid SaaS/on-prem monitoring, with exposure to vendor-driven changes and cloud platforms.

Ideal candidates have strong scripting (Python, Bash), automation (Ansible), and experience with Grafana, Splunk, Prometheus, and OpenTelemetry. OpenShift/Kubernetes experience and SQL databases are a plus.

Qualifications

• Hands-on observability engineering with metrics/logs/traces.
• Experience with ETL, data movement monitoring and data lineage.
• Strong SRE practices: incident response, RCA, automation.
• Experience with hybrid/SaaS/on-prem integrations and vendor changes.
• Cloud/Kubernetes/OpenShift environments and CI/CD familiarity.

Responsibilities

• Monitor data flows across SaaS, hybrid and on-prem environments.
• Develop and maintain observability coverage across services and data pipelines.
• Collaborate with vendors and internal teams to enable reliable integrations.
• Automate incident response, RCA processes and change management.

Skills

Observability engineering

Data engineering visibility

SRE principles

Hybrid/SaaS/on-prem integration

Vendor-driven change management

Tools

Grafana

Splunk

Prometheus

OpenTelemetry

AppDynamics

Python

Bash

Ansible

Kafka

OpenShift

Kubernetes

Job description

Job Overview

Job ID: J51828

Job Title: ETL Site Reliability Engineer

Location: Charlotte, NC

Duration: 24 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Details

Job Description:

Mandatory 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.

Tech Skills:

• 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.
• Monitor and troubleshoot horizontal data movement across SAAS, hybrid, on-prem.
• Ability to visualize and monitor complex data flows across multiple systems.
• 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.
• Cloud and Platform engineering.
• Openshift, Kubernetes and containerized environments.
• Familiarity with CI/CD pipelines.
• Database & SQL.
• Oracle, SQL Server, PostgreSQL, MongoDB.
• Strong knowledge of data governance and compliance frameworks.

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