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Data Logger Jobs in Ohio (NOW HIRING)

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Archive & purge data; mange job dependency, logging & error handling * Strong understanding of batch processing and batch job scheduling frameworks * Experience migrating from CA7/Control-M  ...

Data Entry Clerk

Columbus, OH · On-site

$16.50 - $22/hr

Data Entry / Gate Clerk We are seeking a reliable Data Entry / Gate Clerk to record all incoming ... This role is responsible for accurately logging truck arrivals and supporting site security and ...

New

Data Entry Clerk

Columbus, OH

$16.50 - $22/hr

Data Entry / Gate Clerk We are seeking a reliable Data Entry / Gate Clerk to record all incoming ... This role is responsible for accurately logging truck arrivals and supporting site security and ...

New

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

Data Center Technician

Athens, OH · On-site

$30 - $35/hr

Title: Data Center Technician Work Location: Athens, OH Contract: 6-12 Months with extension Pay ... Logging * Experience using mobile or web applications to log field test results in real time ...

Data Bricks Developer Cincinnati, OH (Onsite) Long Term Role Description * A Data bricks developer ... logging tools. Preferably Dynatrace. * Troubleshoot and resolve issues related to Databricks ...

New

Setup/operate digital test equipment including data loggers * Use own tools to assist in process of assembling equipment as needed * Up to 100% travel may be required * Other duties as assigned ...

GCP Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

... Logging, Monitoring, Alerting, Costing • CI/CD approach for agile execution • Data Science Approach & ecosystem on GCP • Certifications o Minimum: Google Professional Data Engineer, Google ...

Senior Azure Data & Platform Engineer

OH · On-site

$53 - $69/hr

Set up monitoring, logging, alerting, and basic break-fix support using Azure-native tools. * Support disaster recovery planning and operational readiness for Azure resources and data services.

$102K - $122K/yr

... logging for observability. Proficiency in Python for backend development, including FastAPI async patterns, and Pydantic-based data validation. Hands-on experience with SQL and analytical databases ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Ensure HIPAA-compliant security, privacy, and access controls throughout the data lifecycle, including PII detection and masking, role-based access, encryption, and audit logging. * Define and ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

... logging. • Define and enforce data contracts between source systems and the data platform, and between the platform and downstream consumers. When something changes upstream, you know about it ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Ensure HIPAA-compliant security, privacy, and access controls throughout the data lifecycle, including PII detection and masking, role-based access, encryption, and audit logging. * Define and ...

Current Xavier University employees must apply to the internal career site by logging into Workday Data Services Librarian McDonald Library at Xavier University seeks applicants to fill the position ...

Data Services Librarian

Cincinnati, OH · On-site

$57K - $60K/yr

Current Xavier University employees must apply to the internal career site by logging into Workday Data Services Librarian McDonald Library at Xavier University seeks applicants to fill the position ...

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Data Logger information

See Ohio salary details

$8

$23

$54

How much do data logger jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data logger in Ohio is $23.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.16 and $22.85 per hour, depending on experience, location, and employer.

How much do BC loggers make?

BC loggers typically earn between $15 and $25 per hour, depending on experience, location, and the complexity of logging tasks. Entry-level positions may start lower, while experienced loggers with specialized skills or certifications can earn higher wages, often working in outdoor environments with safety protocols in place.

What does a data logger do?

A data logger is a device used by data loggers to record and store environmental or system data over time, such as temperature, humidity, or pressure. They are often used in monitoring applications and require knowledge of sensors and data management tools. Data loggers are employed in various industries for real-time data collection and analysis.

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

To thrive as a Data Logger, you need strong attention to detail, good organizational skills, and familiarity with data entry and basic computer operations, often backed by a high school diploma or equivalent. Experience with data logging software, spreadsheets, and commonly used industry-specific data management systems is highly beneficial. Reliability, accuracy, and strong communication skills help set candidates apart in this role. These skills are critical for ensuring precise and timely documentation, which supports effective decision-making and operational efficiency.

What is a Data Logger job?

A Data Logger is responsible for collecting, recording, and analyzing data from various sources, such as sensors, equipment, or software systems. They ensure data accuracy, troubleshoot logging systems, and maintain data storage for analysis or reporting. This role is commonly found in industries like environmental monitoring, manufacturing, and research, where precise data tracking is essential.

What jobs in the US pay 300,000 a year?

For a Data Logger, high-paying roles typically involve senior positions in industries like oil and gas, aerospace, or manufacturing, often requiring advanced technical skills, certifications, and experience. Such roles may include senior data analyst, engineering manager, or specialized technical consultant, with salaries reaching or exceeding $300,000 annually in certain cases. These positions usually demand extensive expertise, leadership responsibilities, and sometimes work in high-pressure or specialized environments.

What are the typical daily responsibilities of a Data Logger?

Data Loggers are primarily responsible for accurately recording, processing, and validating data collected from various sources such as sensors, instruments, or field reports throughout the day. They ensure that data is entered into databases or spreadsheets in a timely manner, regularly monitor for errors, and may generate basic reports for supervisors or project teams. Collaboration with engineers, field technicians, or quality control staff is often required to clarify data details and maintain consistency. This role is well-suited for individuals who enjoy routine tasks, helping maintain the integrity and usefulness of organizational data.

How can I make 2000 a week working from home?

A data logger job typically pays hourly or per project rates, and earning $2000 weekly from home would require high hourly wages or multiple projects. Increasing income may involve gaining specialized skills, certifications, or working for companies that offer remote data logging or related roles with higher pay. Consistent high earnings often depend on experience, efficiency, and the demand for data logging expertise.
What are popular job titles related to Data Logger jobs in Ohio? For Data Logger jobs in Ohio, the most frequently searched job titles are:

$110K - $133K/yr

Other

Posted 17 days ago


Job description

Job Title: Data Engineer

Location: Pittsburgh, PA, Cleveland, OH, or Dallas, TX – (5 days Onsite) - Local to any of these locations

Job Type: Permanent Full Time

Required qualifications to be successful in this role:

  • 5+ years of experience in data engineering and big data processing
  • Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large-scale batch processing
  • Experience working with structured and semi-structured data, including complex transformations and performance tuning
  • Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models''
  • Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
  • Strong knowledge of SQL and data modeling concepts
  • Hands-on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
  • Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
  • Strong understanding of batch processing and batch job scheduling frameworks
  • Experience migrating from CA7/Control-M  Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
  • Experience ensuring data quality, reliability, and compliance in regulated environments
  • Good communication and documentation skills