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Logging Jobs in Dallas, GA (NOW HIRING)

2T Consulting

Computer Vision Engineer

Mableton, GA

Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging, and cloud security. Roles & Responsibilities * Design and implement enterprise-grade Agentic AI ...

City Of Roswell

Security Lead

Roswell, GA · On-site

$78K - $101K/yr

Overseessecurity monitoring, logging, and alerting, and coordinates response to security events and incidents. * Leads incident response and recovery activities, including containment, investigation ...

Socket.dev

Sr Network Engineer- Cloud Security

Atlanta, GA · On-site

$99 - $121/hr

Monitor and enhance network security posture using cloud-native logging, monitoring, and detection tools (CloudWatch, OCI Logging/Monitoring, Panorama, FortiManager, SIEM platforms) * Participate in ...

authority

Sr Integration Engineer

Atlanta, GA · On-site

$100K - $134K/yr

Implement logging, monitoring, alerting, tracing, and dashboards to support integration SLAs and production operations. * Own incident response, root cause analysis, and remediation for integration ...

Hyatt Regency Atlanta

Food Storeroom Attendant

Atlanta, GA · On-site

$15.50 - $17.50/hr

The storeroom attendant is responsible for logging, releasing and inventorying items in the storeroom area. This person must be able to lift a moderate to heavy weight and have basic communication ...

Virtusa Corporation

Sr. DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Experience with monitoring and logging tools (e.g., AWS CloudWatch, ELK Stack). Excellent communication and collaboration skills to work effectively with cross-functional teams. Understanding of ...

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All JobsLogging JobsLogging Jobs in Dallas, GA

Logging information

What is a logging job?

As a logger, your job is to cut down trees and get the logs ready to transport. This frequently includes helping trim and delimb each fallen tree, determining which trees are suitable for use as timber, and doing other forestry work as needed. Logging often requires the use of specialized equipment and machinery, including cranes, boats, and chainsaws, and loggers usually take on several roles to get the job done. Some details of this job vary based on factors like where you work and what sort of wood you're cutting down. You are also responsible for ensuring forests are appropriately managed and cut in a way that guarantees the longevity of the area.

What is a logging job?

Logging jobs involve the process of cutting down trees, transporting the timber, and processing it for use in industries such as construction, paper, and furniture manufacturing. Workers in logging may include loggers, equipment operators, truck drivers, and supervisors. These roles require operating heavy machinery, maintaining safety standards, and working outdoors in various weather conditions. Logging jobs are physically demanding and often located in remote forested areas.

What skills and qualifications are needed to thrive as a logging worker?

To thrive as a Logging Worker, you need physical stamina, mechanical aptitude, and a basic understanding of forestry practices, often supported by a high school diploma or equivalent. Familiarity with chainsaws, logging machinery, and safety systems, as well as completion of safety training or certification programs, is typically required. Attention to detail, teamwork, and a strong commitment to safety are vital soft skills in this hazardous environment. These skills ensure efficient timber harvesting while minimizing accidents and environmental impact.

What are common challenges faced by logging professionals, and how can they be addressed?

Logging professionals often encounter challenges such as working in remote or rugged terrain, adhering to strict safety regulations, and dealing with unpredictable weather conditions. These challenges can be managed by using specialized equipment, participating in regular safety training, and maintaining clear communication with team members. Additionally, staying updated on best practices and environmental guidelines helps ensure sustainable and efficient logging operations.

What is the difference between Logging vs Forestry Worker?

AspectLoggingForestry Worker
Required CredentialsHigh school diploma, safety certifications, equipment operation trainingHigh school diploma, safety certifications, environmental knowledge
Work EnvironmentForests, logging sites, heavy machineryForests, conservation areas, outdoor settings
Industry UsagePrimary role in timber harvestingSupporting roles in forest management and conservation

Logging involves the active cutting and harvesting of trees, often using heavy machinery, while forestry workers support forest management, conservation, and reforestation efforts. Both roles require safety certifications and outdoor work, but logging is more focused on timber extraction, whereas forestry workers focus on sustainable practices and environmental protection.

Do loggers make a lot of money?

Logging is a physically demanding job that can offer competitive wages, especially for experienced workers or those working in remote areas. However, salaries vary widely depending on location, experience, and the scale of logging operations, with median pay often below other skilled trades. Certifications and safety training can improve earning potential in this field.

How much do you get paid for logging?

Logging workers typically earn an average hourly wage ranging from $15 to $25, depending on experience, location, and the complexity of the work. Salaries can vary based on whether the position is seasonal or year-round, and additional skills such as operating heavy machinery may influence pay rates.
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Logging jobs near you
Infographic showing various Logging job openings in Dallas, GA as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

AI & Microsoft Fabric Engineer

2T Consulting

College Park, GA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an AI & Microsoft Fabric Engineer to design and develop enterprise AI solutions using Agentic AI, Generative AI, Azure OpenAI, RAG, and Microsoft Fabric. The role focuses on building AI agents, semantic data solutions, and scalable data pipelines to automate workflows and enable intelligent data-driven decisions.

Required Skills
  • Strong experience with Agentic AI, including AI agents, reasoning, planning, memory, tool/function calling, multi-agent orchestration, guardrails, and evaluation.
  • Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI orchestration frameworks.
  • Expertise in LLM/GenAI solutions including Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, prompt engineering, grounding, and hallucination mitigation.
  • Strong Microsoft Fabric experience with:
    • Lakehouse, Warehouse, OneLake
    • Data Factory, Dataflows, Notebooks
    • Power BI semantic models, Direct Lake, Delta Lake
    • Medallion architecture
  • Experience with ontology and semantic modeling, including entities, relationships, taxonomy, metadata, lineage, semantic layers, knowledge graphs, RDF/OWL/SPARQL, or graph databases.
  • Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging, and cloud security.
Roles & Responsibilities
  • Design and implement enterprise-grade Agentic AI solutions using LLMs, RAG, APIs, and enterprise data sources.
  • Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models, applications, and document repositories.
  • Build and optimize RAG pipelines using embeddings, vector/semantic search, structured data grounding, and evaluation frameworks.
  • Develop ontology-driven semantic models supporting business rules, metadata, governance, and data lineage.
  • Design and build Fabric data solutions using Data Factory, Notebooks, Spark/PySpark, SQL, Delta Lake, and medallion architecture.
  • Implement AI governance practices including guardrails, access controls, monitoring, logging, security, and cost optimization.
  • Create technical designs, architecture diagrams, reusable components, and development standards.
  • Collaborate with business and technical teams to translate business processes into semantic data products and AI workflows.
Preferred Qualifications
  • Experience delivering production-grade GenAI and AI automation solutions.
  • Strong Azure cloud experience and enterprise data platform knowledge.
  • Experience with Agile development and production support.

Apply