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Data Logging Jobs (NOW HIRING)

IntraEdge

Cloud Automation Lead/Engineer - API

Ashland, OH

$88K - $116K/yr

Develop data logging, auditing, and monitoring pipelines. * Optimize application performance and scalability for future growth. * Ensure secure development practices, including IAM policies and ...

Docker

Data Scientist, Data Insights

Seattle, WA · On-site +1

Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines. Technical Execution & Modeling * Apply statistical modeling and machine ...

Quadtec Solutions, Inc

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Senior Cybersecurity Cloud Engineer (Azure and AWS)

Atlanta, GA · Remote

$160K - $175K/yr

The role requires knowledge about log collection and routing for AWS and Azure cloud environments, including data plane and control plane logs and ability to design data logging and routing ...

Quadtec Solutions, Inc

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Senior Cybersecurity Cloud Engineer (Azure and AWS)

Washington, DC · Remote

$160K - $175K/yr

The role requires knowledge about log collection and routing for AWS and Azure cloud environments, including data plane and control plane logs and ability to design data logging and routing ...

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All JobsData Logging Jobs

Data Logging information

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$46K

$165K

$243.5K

How much do data logging jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data logging in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

In data logging or related fields, high-paying roles such as freelance data consultants or specialized technicians can earn $10,000 or more per month, especially with extensive experience, technical skills, and certifications. These roles often require expertise in data analysis, programming, or equipment operation but may not require a formal degree if skills are demonstrated through work and certifications.

What does a data logger do?

A data logger is a professional who operates devices that record and store data from sensors or instruments over time. They set up, calibrate, and monitor data logging equipment to ensure accurate data collection for analysis in fields like environmental monitoring, manufacturing, or research. Knowledge of data management software and technical skills are often required for this role.

What is data logging?

Data logging is the process of automatically collecting, recording, and storing data over time using electronic devices called data loggers. This data can include environmental conditions, equipment performance, or other measurements, depending on the application. Data logging is widely used in fields such as scientific research, manufacturing, and environmental monitoring to ensure accurate and reliable data collection. The information gathered is often analyzed to improve processes, maintain compliance, or support decision-making.

How can I make 2000 a week working from home?

Data logging jobs can pay varying rates depending on the complexity and volume of work, with experienced professionals earning $20 to $50 per hour. To reach $2,000 weekly, one would need to work approximately 40 to 100 hours at these rates, often requiring skills in data management, attention to detail, and familiarity with logging software. Building a strong portfolio and seeking contracts with companies that outsource data entry or logging tasks can help achieve this income level from home.

What is the highest paying data entry job?

The highest paying data entry jobs typically involve specialized roles such as medical or legal transcription, which require additional skills and certifications. These positions can offer higher wages compared to standard data entry roles, especially when performed in industries with complex or sensitive data. Advanced proficiency with data management tools and fast typing skills can also contribute to higher earnings.

What is the difference between Data Logging vs Data Analyst?

AspectData LoggingData Analyst
Required CredentialsTechnical certifications, basic data management skillsDegree in statistics, data science, or related field
Work EnvironmentFieldwork, industrial sites, manufacturing plantsOffice setting, computer-based analysis
Industry UsageMonitoring equipment, collecting raw dataInterpreting data, generating reports
Common Search IntentUnderstanding data collection methodsAnalyzing data for insights

Data Logging involves collecting and recording raw data from equipment or environments, often in the field. Data Analysts interpret and analyze this data to provide insights. While Data Logging focuses on data collection, Data Analysts focus on data interpretation and reporting, making their roles complementary but distinct.

What are the key skills and qualifications needed to thrive as a Data Logger, and why are they important?

To thrive as a Data Logger, you need strong attention to detail, data entry accuracy, and organizational skills, often supported by a high school diploma or equivalent. Familiarity with data logging software, spreadsheets (such as Microsoft Excel), and sometimes specialized industry tools is typically required. Reliability, time management, and clear communication are essential soft skills that help ensure smooth workflow and accurate record-keeping. These skills are crucial for maintaining data integrity and supporting informed decision-making in various industries.

What are the typical challenges faced in a Data Logging role and how can they be addressed?

Data Logging professionals often encounter challenges such as maintaining data accuracy, managing large volumes of information, and ensuring timely entry and retrieval of data. Addressing these challenges requires strong attention to detail, familiarity with data management software, and effective organization skills. Regular quality checks and clear communication with team members can also help prevent errors and ensure consistent, reliable data collection. Adapting to new logging technologies and protocols is essential for staying efficient and meeting industry standards.
More about Data Logging jobs
What cities are hiring for Data Logging jobs? Cities with the most Data Logging job openings:
What states have the most Data Logging jobs? States with the most job openings for Data Logging jobs include:
What job categories do people searching Data Logging jobs look for? The top searched job categories for Data Logging jobs are:
Data Logging jobs near you
Infographic showing various Data Logging job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
C++ Embedded Simulation Engineer

C++ Embedded Simulation Engineer

Phantom AI

Mountain View, CA • Hybrid

$120K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

About Phantom AI

At Phantom AI, we're on a mission to redefine vehicle safety and autonomy. Our System & Validation Team builds the tools and infrastructure to ensure our products meet the highest reliability, performance, and safety standards. We're looking for a software engineer who thrives at the intersection of software design, machine learning, data science, and simulation.

What You'll Do
  • Simulation: Improve the efficiency, reliability, and trustworthiness of our simulation framework(HILS and SILS). Our simulations replay real-world sensor and vehicle data into the vision software running on actual boards, enabling deterministic validation of behavior and decision-making.
  • Data Logging & Telemetry: Design and maintain high-throughput logging services to capture raw sensor data (Camera, Radar, LiDAR) and vehicle bus data (CAN/Ethernet). Ensure data integrity and time synchronization across distributed systems
  • Optimize & Scale: Enhance the performance and scalability of our evaluation frameworks.
  • Build Validation Infrastructure: Design, develop, and maintain tools for data collection, data processing, simulation, evaluation, visualization, and analysis.
  • Cross‑Functional Collaboration: Work closely with ML researchers, perception engineers, and vehicle test engineers to translate requirements into robust vision software.
What We're Looking For

Must‑Haves

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 2+ years of experience delivering complex, production-quality software
  • Expert-level Python skills and solid software‑design experience
  • Proficiency with Git and familiarity with C++
  • Comfortable on Linux: command‑line fluency, Bash scripting, and debugging
  • Working knowledge of ROS (preferably ROS 2)
  • Hands-on experience with HILS, SILS, or board-level simulation system setup and maintenance
  • Experience with vehicle communication protocols (CAN, Ethernet) and data logging workflows

Nice‑to‑Haves

  • Hands‑on experience in ADAS, computer vision, autonomous driving, or robotics
  • Working knowledge of OpenCV
  • Knowledge of hardware debugging and electrical/electronic system integration
  • Master's degree or higher in a relevant area
Why You'll Love Working Here
  • Impact: Your code directly contributes to making roads safer for millions of drivers.
  • Growth: Collaborate with experts in ML, simulation, and automotive testing—and expand your skillset across domains.
  • Culture: Join a tight‑knit team that values innovation, curiosity, and continuous learning.

Work Type

Hybrid - Phantom AI follows this type of working experience to allow employees the flexibility to work weekly at the office 4x and from home 1x. (subject to change in the future)

Benefits:

  • Annual Salary: $120,000-$180,000
  • Medical, Dental, and vision coverage
  • Office snacks & reimbursable meals*
  • Paid Time Off
  • FSA
  • 401K

Equal Opportunity for Diversity & Inclusion

Phantom AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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