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Remote Logging While Drilling Jobs in Minnesota (NOW HIRING)

While strong software engineering skills are essential, the primary focus is on AI platform ... Develop and maintain dashboards, health metrics, alerts, logging frameworks, and operational ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and ...

Logging information into a client database. * Must adhere to client site visit protocols. * Travel ... Ability to maintain confidentiality while eliciting relevant information from contacts. * Ability ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and ...

Remote Logging While Drilling information

What is remote logging while drilling?

Remote Logging While Drilling (LWD) is a process in the oil and gas industry where real-time data about a wellbore is collected and transmitted to remote experts during the drilling process. This data includes information about the geological formation, well trajectory, and drilling conditions. By using remote technology, specialists can analyze and interpret this information from offsite locations, leading to faster decision-making, improved drilling efficiency, and enhanced safety. This approach reduces the need for additional personnel at the drilling site and allows for continuous monitoring and optimization of operations.

What are the key skills and qualifications needed to thrive as a remote logging while drilling engineer?

To thrive as a Remote Logging While Drilling (LWD) Engineer, you need a solid background in geology, petroleum engineering, or a related field, along with experience in well logging and drilling operations. Familiarity with specialized software for real-time data transmission, interpretation tools, and commonly used LWD equipment is essential, and relevant industry certifications like IWCF or IADC are often required. Strong analytical thinking, effective communication, and the ability to work well under pressure are vital soft skills for this role. These skills ensure accurate wellbore data acquisition, safe drilling operations, and effective collaboration with on-site and remote teams in dynamic environments.

What are some unique challenges faced by professionals working in remote logging while drilling roles, and how are they typically addressed?

Professionals in Remote Logging While Drilling (LWD) roles often face challenges such as managing real-time data transmission reliability, working across different time zones, and communicating effectively with on-site drilling teams. To address these, remote LWD specialists use robust data monitoring platforms, adhere to strict protocols for data validation, and participate in regular virtual meetings to stay aligned with field operations. Building strong communication channels and maintaining flexibility in work schedules are key strategies to ensuring smooth collaboration and operational success.

What is the difference between Remote Logging While Drilling vs Logging Engineer?

AspectRemote Logging While DrillingLogging Engineer
CredentialsTechnical certifications in drilling and loggingDegree in geology, petroleum engineering, or related field
Work EnvironmentOn-site at drilling rigs, remote operations centersOffice-based, field sites, or remote monitoring centers
Industry UsageUsed during active drilling operations to collect real-time dataAnalyzes and interprets well data, often post-drilling

Remote Logging While Drilling focuses on real-time data collection during drilling operations, often requiring technical certifications and on-site presence. Logging Engineers analyze well data, typically in office or remote settings, after data collection. Both roles are essential in the oil and gas industry but serve different functions during the drilling process.

What are the most commonly searched types of Logging While Drilling jobs in Minnesota?

The most popular types of Logging While Drilling jobs in Minnesota are:

What are popular job titles related to Remote Logging While Drilling jobs in Minnesota?

For Remote Logging While Drilling jobs in Minnesota, the most frequently searched job titles are:

Software Engineer III - AI/ML Platform Operations - Remote

CSAA

Remote

Full-time

Retirement

Posted 5 days ago


Job description

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Thank you for considering opportunities with us!

Job Title

Software Engineer III - AI/ML Platform Operations - Remote

Requisition Number

R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open)

Location

Arizona - Home Teleworkers

Additional Locations

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Software Engineer - AI/ML Platform Operations - Remote

Your Role: We are seeking a Software Engineer - AI/ML Platform Operations to lead the operational excellence, reliability, and support of our enterprise AI and data platforms. This role is responsible for ensuring the stability, scalability, observability, governance, and operational readiness of AI/ML solutions that power critical business capabilities.

This is not a traditional software application development role. While strong software engineering skills are essential, the primary focus is on AI platform operations, MLOps, automation, reliability engineering, deployment support, observability, governance, and continuous improvement of enterprise AI capabilities.

Your Work: You will work across a modern technology ecosystem that includes Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and Product teams to support production AI workloads and enable the successful adoption of AI capabilities across the organization.

AI Platform Operations & Reliability
  • Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies.

  • Ensure platform reliability, scalability, performance, security, and operational readiness for production AI workloads.

  • Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services.

  • Establish operational standards, support models, service-level objectives (SLOs), and platform governance practices.

MLOps, Automation & Observability
  • Design and implement automation, monitoring, observability, and operational tooling to improve platform reliability and efficiency.

  • Develop and maintain dashboards, health metrics, alerts, logging frameworks, and operational runbooks.

  • Enhance CI/CD pipelines, deployment automation, infrastructure-as-code, and model release processes.

  • Implement best practices for MLOps, model monitoring, model lifecycle management, and AI operational governance.

Incident Management & Problem Resolution
  • Serve as a senior escalation point for complex production issues involving AI platforms, machine learning workloads, cloud infrastructure, and data integrations.

  • Lead root cause analysis efforts and drive corrective and preventive actions to improve platform stability.

  • Solve performance, availability, deployment, and integration issues across AI and data ecosystems.

  • Partner with engineering and business teams to rapidly restore service and minimize operational risk.

Technical Leadership & Collaboration
  • Provide mentorship, technical guidance, and operational expertise to engineers and platform teams.

  • Influence platform strategy, architecture decisions, operational processes, and technology adoption.

  • Collaborate with team members to align platform capabilities with business priorities and AI adoption goals.

  • Communicate complex technical concepts effectively to both technical and non-technical audiences.

Continuous Improvement & Innovation
  • Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering, and reliability practices.

  • Identify opportunities to improve operational efficiency, governance, security, and developer experience.

  • Champion modern engineering practices including automation, observability, DevOps, Site Reliability Engineering (SRE), and AI Operations (AIOps).

Required Experience, Education and Skills
  • 3+ years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or related technical disciplines.

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

  • Experience supporting production cloud-based applications and services in AWS environments.

  • Strong experience with software engineering and automation using languages such as Python, Java, JavaScript/TypeScript, or Node.js.

  • Experience with CI/CD, build, integration, and deployment tools such as Jenkins, Maven, GitHub Actions, or equivalent.

  • Experience with cloud-native services including compute, storage, networking, databases, and serverless architectures.

  • Experience building and maintaining operational monitoring, observability, and alerting solutions.

  • Strong troubleshooting, incident response, and root cause analysis skills.

  • Excellent communication, collaboration, and technical leadership capabilities.

What would make us excited about you?

  • Experience with AI/ML platforms such as Palantir Foundry, Amazon SageMaker, AWS Bedrock, Databricks, or similar ecosystems.

  • Experience supporting Generative AI applications, LLM-based solutions, prompt orchestration frameworks, and Retrieval-Augmented Generation (RAG) architectures.

  • Knowledge of MLOps practices including model deployment, monitoring, governance, experimentation, and lifecycle management.

  • Experience with observability and monitoring platforms such as Datadog, Splunk, Grafana, Prometheus, CloudWatch, or OpenTelemetry.

  • Familiarity with AI governance, responsible AI principles, model risk management, and operational controls.

  • Relevant cloud, AI/ML, DevOps, or platform engineering certifications

  • Actively shapes our company culture (e.g., participating in employee resource groups, volunteering, etc.)

  • Lives into cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.)

  • Travels as needed for role, including divisional / team meetings and other in-person meetings

  • Fulfills business needs, which may include investing extra time, helping other teams, etc

Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.

Why Choose a Career at CSAA IG?

At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.

Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.

Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.

Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.

Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.

CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com

If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.

CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

CSAA Insurance Group is an equal opportunity employer.

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The national average salary range for this position is $105,345.00-$117,050.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $105,345.00-$140,550.00. This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 8% of eligible pay.This job posting will be unposted on Fri, 28 Aug 2026.