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Well Logging Jobs in Spring, TX (NOW HIRING)

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

... into well-scoped agentic use cases with clear success metrics Semantic Grounding & Knowledge ... Implement tracing, logging, and observability across agent runs to support debugging, cost ...

Fervo Energy

Senior Network Engineer

Houston, TX

$99K - $136K/yr

This role sets technical direction for the network, delivers reliable and well-documented systems ... Operate FortiAnalyzer for logging, reporting, and event correlation, tuning outputs to support ...

Weatherford

MPD Project Engineer II

Houston, TX

... 2) Mud logging and data analysis. 3) Manage Pressure Drilling well planning software. 4) Drilling Hydraulics Simulator Software. 5) Writing and executing MPD procedures for deepwater drilling ...

Stream-Flo Industries

Lead Hand Warehouse

Houston, TX · On-site

$17.50 - $22.25/hr

... benefits program, as well as the opportunity to work in an entrepreneurial environment ... Internal Candidates - please apply by logging in to UltiPro. External Candidates - please apply ...

Sapsol Technologies Inc

Controls System Engineer

Houston, TX · On-site

$79K - $103K/yr

Must be well versed in the practical application of industry codes, certification requirements and ... Logging of Process Data, Industrial Network Communication Design and Implementation) will be an ...

Agency 8

Welder Fabricator

Conroe, TX · On-site

$23 - $28/hr

... logging, and vegetation management industry is seeking a skilled Welder Fabricator . This hands on ... The ideal candidate is a well rounded tradesperson with strong fabrication skills, mechanical ...

DOF

Surveyor - Grade II

Houston, TX · On-site

And who knows? Perhaps you will learn something from your new colleagues, as well. We offer ... This includes setting up and operating the survey equipment, logging, QC and backing up of data.

DOF

Surveyor - Grade I

Houston, TX · On-site

And who knows? Perhaps you will learn something from your new colleagues, as well. We offer ... This includes setting up and operating the survey equipment, logging, Quality Control and backing ...

DOF

Surveyor - Grade I

Houston, TX · On-site

And who knows? Perhaps you will learn something from your new colleagues, as well. We offer ... This includes setting up and operating the survey equipment, logging, Quality Control and backing ...

MacroFab

Program Manager

Houston, TX · On-site

... well as our Partner Factories, keeping all parties aligned, programs on schedule, and customers ... logging activities, managing account records, tracking open items, and running reports to support ...

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All JobsWell Logging JobsWell Logging Jobs in Spring, TX

Well Logging information

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$15

$24

$31

How much do well logging jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for well logging in Spring, TX is $24.21, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $27.16 per hour, depending on experience, location, and employer.

What does a typical day look like for a well logging professional?

A typical day as a well logging professional often involves preparing, calibrating, and deploying logging tools at drilling sites, collecting and transmitting downhole data, and working closely with drilling engineers and geologists to interpret results. You might spend significant time both on-site at drilling rigs, often in remote locations, and in offices analyzing and reporting data. Problem-solving is a regular part of the job, as unexpected conditions can arise downhole, requiring quick adjustments and collaboration with a multidisciplinary team. The role is dynamic, offering a mix of fieldwork and technical analysis, and provides valuable experience for career advancement into senior geoscience or operations positions.

What are the key skills and qualifications needed to thrive in the Well Logging position, and why are they important?

To thrive in Well Logging, you need a background in geology or engineering, a strong grasp of petrophysical principles, and hands-on experience with data acquisition and interpretation. Familiarity with specialized well logging tools and software such as wireline logging units, logging-while-drilling systems, and platforms like Schlumberger Techlog or Halliburton LogScope is essential. Attention to detail, analytical thinking, and effective teamwork are crucial soft skills in this field. These abilities are vital for accurately analyzing subsurface formations to support exploration and production operations, where data quality and safety are paramount.

What is a Well Logging job?

A Well Logging job involves recording and analyzing data from boreholes to assess subsurface geology and fluid properties. Logging technicians or engineers use specialized tools to measure parameters such as rock composition, porosity, and fluid saturation. This data helps petroleum engineers make decisions about drilling, production, and reservoir management. Well loggers may work in the field at drilling sites or in offices interpreting data. The role requires technical knowledge, attention to detail, and often travel to remote locations.

What are popular job titles related to Well Logging jobs in Spring, TX? For Well Logging jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Well Logging jobs in Spring, TX look for? The top searched job categories for Well Logging jobs in Spring, TX are:
What cities near Spring, TX are hiring for Well Logging jobs? Cities near Spring, TX with the most Well Logging job openings:
Well Logging jobs near you
Infographic showing various Well Logging job openings in Spring, TX as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Summer. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $50,356 per year, or $24.2 per hour.
Agentic AI Engineer

Agentic AI Engineer

Fervo Energy Company

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Job Type
Full-time
Description
Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission requires AI-native capabilities that drive measurable impact across drilling, completions, production, geophysics, and power plant operations. The Agentic AI Engineer, within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers, operators, and decision-makers in the field.
The Agentic AI Engineer owns the end-to-end delivery of agentic AI use cases - from problem framing and architecture, through prototyping, evaluation, deployment, and iteration in production. Working across Data Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this role establishes reusable patterns for retrieval, semantic grounding, tool integration, and agent orchestration on top of our Azure, Databricks, and Snowflake stack. Success requires strong hands-on engineering depth, sound architectural judgment, and pragmatism about what to ship versus what to defer.
Requirements
Responsibilities
Agentic Workflow Design & Delivery
  • Design and deploy end-to-end agentic AI workflows using planner-worker, orchestrator-executor, multi-agent, and RAG-based architectures
  • Build reusable components and reference patterns for tool routing, state management, error handling, and human-in-the-loop checkpoints
  • Implement robust retrieval pipelines (hybrid search, vector + keyword, graph-aware retrieval) over technical documents, historian data, and operational records
  • Translate domain problems from drilling, completions, production, geophysics, and power plant operations into well-scoped agentic use cases with clear success metrics

Semantic Grounding & Knowledge Integration
  • Build and maintain a semantic layer over our data lake and warehouse using Snowflake Semantic Views and Databricks Unity Catalog Metric Views, making business concepts queryable by both humans and agents
  • Develop and curate knowledge graphs that connect domain entities (wells, pads, assets, equipment, events, documents) and serve as grounding context for LLM reasoning
  • Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns

Evaluation, Observability & Production Operations
  • Establish agent evaluation frameworks including golden datasets, automated regression tests, and structured evals for accuracy, faithfulness, and tool-use correctness
  • Implement tracing, logging, and observability across agent runs to support debugging, cost monitoring, and continuous improvement
  • Build feedback loops that capture user input and convert it into eval cases and prompt/system improvements
  • Support production incidents and platform-level issues impacting deployed agents

Deployment & Enablement
  • Deploy agents as production services on our Azure-native stack (App Service, Container Apps, Functions) with Entra ID SSO, Key Vault-managed secrets, and proper cost controls
  • Build lightweight UIs (Streamlit, Gradio, or React) for agentic applications and internal tools
  • Lead design reviews and cross-functional enablement sessions on agentic AI patterns and best practices

Qualifications
Required
  • Bachelor's or Master's degree in Computer Engineering or Data Science preferred.
  • 2+ years of hands-on experience building and deploying agentic AI or LLM-powered applications in production, not just prototypes or notebooks
  • Strong Python skills, including async patterns, API design with FastAPI, and writing testable, maintainable production code
  • Demonstrated experience with at least one major agent framework: LangChain/LangGraph, LlamaIndex, AutoGen, or Semantic Kernel
  • Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs, streaming, and prompt engineering
  • Experience implementing RAG architectures with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate, Chroma, or similar) and embedding models
  • Experience with agent orchestration patterns including multi-step planning, tool routing, state management, and graceful failure handling
  • Familiarity with Model Context Protocol (MCP) or equivalent standards for tool and context integration
  • Cloud deployment experience on Azure (App Service, Container Apps, Functions, Key Vault, Entra ID), or equivalent in AWS/GCP with willingness to work in our Azure-first environment
  • Strong Git and CI/CD experience, including version control discipline, code review, and automated testing
  • Experience with containerization (Docker) and infrastructure-as-code (Terraform preferred)
  • Strong observability and production operations skills, including structured logging, tracing, cost monitoring, and runbook development

Preferred
  • Experience designing or working with semantic models and semantic layers - Snowflake Semantic Views, Databricks Metric Views, dbt Semantic Layer, Cube, or Power BI semantic models
  • Hands-on experience with knowledge graphs: graph databases (Neo4j, Azure Cosmos DB Gremlin), RDF/SPARQL, ontology design, or graph-augmented RAG
  • Experience with agent evaluation tooling such as LangSmith
  • Experience with our broader data stack: Databricks, Snowflake, Azure Data Lake Storage (ADLS), Azure Data Factory
  • Oil and gas or energy industry experience, including familiarity with drilling, completions, production, geophysics, or industrial historian data
  • Background in time-series data, signal processing, or industrial IoT (MQTT, OPC UA, SparkplugB)

Experience with multimodal models for handling well logs, schematics, or scanned reports
Location
Fervo Energy is headquartered in Houston, TX, with growing offices in Golden, CO, Reno, NV, and Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at the Golden or Houston office will be required
Compensation & Benefits
Fervo provides a comprehensive suite of benefits including medical, dental, vision, life, short-term and long-term disability, flexible paid time off, and paid parental leave. Additionally, Fervo offers an incentive stock options program, a bonus incentive program, and a 401(k) plan with an employer match.
Fervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicant's education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. Expected Salary: $103,152 - $158,588 based on location and experience.
Fervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

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