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Well Logging Jobs in California (NOW HIRING)

Lean In

Backend Engineer

San Francisco, CA · On-site

$130K - $200K/yr

Write clean, maintainable, well-tested code, and troubleshoot and debug across the stack. * Optimize performance, scalability, and security, and implement robust logging and observability. Engineer ...

Lean In

Backend Engineer

San Francisco, CA · On-site

$130K - $200K/yr

Write clean, maintainable, well-tested code, and troubleshoot and debug across the stack. * Optimize performance, scalability, and security, and implement robust logging and observability. Engineer ...

Behavioral Health Services

Technical Lead I

Gardena, CA · On-site

$79 - $90/hr

Supports infrastructure logging, monitoring, audit evidence retention, and access review activities ... Represent BHS well in all contacts. * Attend meetings and training courses and participate in ...

Miratech

Senior UC Engineer

Los Angeles, CA · On-site +1

... well supported. The candidate will serve as a key point of contact for incident management and ... Monitor UC platform health using observability and logging tools (Splunk). * Manage and analyze ...

Medium

Director of IT, Infrastructure & Security

Irvine, CA · On-site

$130 - $160/hr

Your charter is to keep it running well, mature it where it matters most, and serve as the senior ... Experience working with SIEM, EDR, vulnerability management, logging, and SOC/MSSP workflows. You ...

Cameron-Cole

Geologist-Hydrogeologist I

Alameda, CA · On-site

$25 - $29/hr

... well or borehole logging. Field activities may involve travel to project sites and coordination with subcontractors. When not in the field, the position works in a traditional office setting using ...

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All JobsWell Logging JobsWell Logging Jobs in California

Well Logging information

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$17

$26

$34

How much do well logging jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for well logging in California is $26.85, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $30.14 per hour, depending on experience, location, and employer.

What is well logging?

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 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 well logging, 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 are popular job titles related to Well Logging jobs in California?

For Well Logging jobs in California, the most frequently searched job titles are:

What job categories do people searching Well Logging jobs in California look for?

The top searched job categories for Well Logging jobs in California are:

Well Logging jobs near you
Infographic showing various Well Logging job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $55,846 per year, or $26.8 per hour.

Backend Engineer

Lean In

San Francisco, CA • On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

About Lean In & The Sandberg Bernthal Family Foundation
The Sandberg Goldberg Bernthal Family Foundation (SGBFF) works to build a more equal and resilient world. We bring people together to support each other through four initiatives: LeanIn.Org, LeanInGirls.Org, OptionB.Org, and the Dave Goldberg Scholarship Program.
Through our community, research-based content, and programs, we help women and allies build the skills, confidence, and networks they need to reach their full potential. We believe a more equal world is possible - and that it will take us working together to create it. While the majority of your work will focus on Lean In, this role offers the opportunity to drive impact across multiple mission-driven initiatives.
THE ROLE
We're hiring a Backend Engineer who will architect and maintain the back-end services and data pipelines that power our platforms - and you'll turn the data flowing through them into the metrics and analysis that guide our decisions. Engineer, data engineer, and data scientist all in one seat. This is a unique, high-growth opportunity. As AI reshapes how software and data work together, the people who can both build robust infrastructure and reason rigorously about what the data says are extraordinarily valuable. You'll have real ownership, direct influence on strategy through the metrics you define, and room to grow as our data and platforms scale to serve millions.
What You'll Do
Build the backend
  • Design, develop, and deploy scalable back-end services, APIs, and database architectures.
  • Take end-to-end ownership of technical projects, from technical design to production release.
  • Write clean, maintainable, well-tested code, and troubleshoot and debug across the stack.
  • Optimize performance, scalability, and security, and implement robust logging and observability.
Engineer the data
  • Build and maintain reliable data pipelines, from raw ingestion to reporting.
  • Design and optimize data infrastructure and warehousing solutions.
  • Ensure data quality, governance, and consistency across systems.
  • Implement logging and instrumentation that make our products measurable.
Drive insight and metrics
  • Partner with leadership and product to define, set, and track our goal metrics.
  • Build dashboards and visualizations accessible to both technical and non-technical stakeholders.
  • Design experiments and analyze A/B tests to optimize features and experiences.
  • Build predictive models and recommendation systems that personalize and strengthen user journeys.
  • Translate complex analysis into clear, practical recommendations that inform decisions.

What You Bring
  • 3+ years in back-end or full-stack engineering, with meaningful data science or analytics experience (or the reverse).
  • Strong proficiency in a server-side language (Python preferred; Node.js, Ruby, or Java also welcome) and building RESTful APIs.
  • Strong SQL, plus experience working with both SQL and NoSQL databases.
  • Strong ability to set goal metrics for a team and track progress over time.
  • Proven experience building and maintaining data pipelines.
  • Experience defining and tracking metrics, plus logging and instrumentation.
  • Experience setting up and running experiments to measure impact.
  • Data visualization skills and the ability to communicate analysis in a clear, compelling way.
  • A self-starter who thrives with autonomy and strong problem-solving skills and intellectual curiosity.
  • Excellent cross-functional collaboration and communication skills.
  • A bachelor's degree in Computer Science, Data Science, Data Engineering, or a related field, or equivalent practical experience.
  • A deep commitment to Lean In's mission to inspire and equip women to lead.
  • Alignment with the Sandberg Bernthal Family Foundation's initiatives, including building resilience and advancing equality.

$130,000 - $200,000 a year
Base Salary
$130,000 - $200,000, based on experience, skills, and qualifications
Performance Bonus
Up to 15% of base salary annually
Benefits
Medical, dental, and vision insurance; 401(k) with a 4% employer match; generous paid time off; and additional benefits designed to support well-being and long-term success
The Sandberg Goldberg Bernthal Family Foundation is committed to Equal Employment Opportunity without regard to age, race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.
It's important to us that people of all identities and backgrounds see themselves represented and included in our work, so we actively encourage people of all identities and experiences to apply.
Before you apply, please review our approach to AI in the hiring process here.

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