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Remote Observability Engineer Jobs in Louisiana (NOW HIRING)

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or ...

Partner with Product and Engineering leadership to ensure the new platform is being built with ... observability, automation hooks, deployment practices) in mind from the start. * Provide the VP ...

Partner with Product and Engineering leadership to ensure the new platform is being built with ... observability, automation hooks, deployment practices) in mind from the start. * Provide the VP ...

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets ... observability/debugging workflows. * Familiarity with vector stores (Pinecone, Chroma, Weaviate ...

Remote Observability Engineer information

What are the typical collaboration patterns for a remote observability engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

What are the key skills and qualifications needed to thrive as a remote observability engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

What is the difference between Remote Observability Engineer vs Site Reliability Engineer?

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a remote observability engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.

What are the most commonly searched types of Observability Engineer jobs in Louisiana?

The most popular types of Observability Engineer jobs in Louisiana are:

What are popular job titles related to Remote Observability Engineer jobs in Louisiana?

For Remote Observability Engineer jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Remote Observability Engineer jobs in Louisiana look for?

The top searched job categories for Remote Observability Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Remote Observability Engineer jobs?

Cities in Louisiana with the most Remote Observability Engineer job openings:

Infographic showing various Remote Observability Engineer job openings in Louisiana as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution.

Principal Data Engineer

Bollinger Shipyards

Raceland, LA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Bollinger Shipyards rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Job Title: Principal Data Engineer
Location: Remote
POSITION OVERVIEW
We are seeking a dedicated Principal Data Engineer .The candidate will lead the design, development, and delivery of enterprise data pipelines and foundational data assets supporting analytics, reporting, forecasting, and AI initiatives. This role is responsible for establishing scalable and reliable data engineering practices while ensuring enterprise data is accurate, secure, accessible, and aligned to business priorities.
REQUIREMENTS
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field
  • Minimum of 8-12 years of experience in data engineering
  • Proven experience delivering enterprise-scale data pipelines
  • Strong SQL and data transformation expertise
  • Experience with cloud data platforms (Azure preferred)
  • Experience integrating ERP and operational systems
  • Experience leading technical teams or mentoring engineers; prior people management experience is desirable
SKILLS
  • Experience with Azure Synapse, Azure Data Factory, Databricks, Fabric, or similar cloud technologies
  • Experience in manufacturing, shipbuilding, industrial, or engineering-intensive environments
  • Familiarity with Power BI and downstream analytics enablement
  • Experience supporting AI/ML initiatives through engineered datasets and feature pipelines
  • Knowledge of data observability, master data management, and metadata management practices
  • Relevant cloud or data engineering certification
RESPONSIBILITIES
  • Lead the design, development, and support of enterprise data pipelines and integrations across Oracle ERP, Finesse, MES, PLM, Primavera, proposal systems, and other operational platforms
  • Establish and maintain scalable data engineering standards, frameworks, and development practices
  • Ensure consistent implementation of enterprise data architecture and medallion data design patterns (raw, curated, business-ready)
  • Oversee data ingestion, transformation, orchestration, reconciliation, and validation processes
  • Partner with Enterprise Architecture and Integration teams to align technical solutions with enterprise standards and future-state architecture
  • Support analytics, reporting, forecasting, and AI initiatives through delivery of trusted and performant datasets
  • Ensure data quality, lineage, observability, and reliability across enterprise data assets
  • Provide technical leadership, architectural guidance, and mentoring to data engineering team members
  • Collaborate with cybersecurity and infrastructure teams to ensure secure and compliant handling of enterprise data
  • Evaluate emerging technologies and recommend improvements to data engineering capabilities and platform performance
  • Mentor and develop technical talent while fostering strong engineering discipline and accountability

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

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