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Data Monitoring Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA ยท On-site

$95 - $150/hr

Implement data monitoring and anomaly detection * Support synthetic data for testing and simulation * Optimize pipelines to remove redundancy and reduce costs * Improve performance, scalability, and ...

New

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data Storage and Management: * Design and implement data storage solutions using BigQuery, Cloud Storage, and ...

Data Engineer - GCP

Atlanta, GA ยท On-site

$110K - $132K/yr

Ensure data processing and ingestion workflows are monitored and meet performance SLAs. Data Storage and Management: * Design and implement data storage solutions using BigQuery, Cloud Storage, and ...

Position Summary The Data Center Support Technician is responsible for managing operational ... Finally, they will monitor the health of all critical systems including building management, fire ...

GBS Vendor Master Data Analyst

Atlanta, GA ยท Hybrid

$71K - $90K/yr

Monitor and maintain GBS escalation logs and items holding up payment, including acting as the main ... Work closely with Data Specialists to provide data, feedback, and guidance to maintain process ...

GBS Vendor Master Data Analyst

Atlanta, GA ยท On-site

$71K - $90K/yr

Monitor and maintain GBS escalation logs and items holding up payment, including acting as the main ... Work closely with Data Specialists to provide data, feedback, and guidance to maintain process ...

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Showing results 1-20

Data Monitoring information

See Georgia salary details

$8

$23

$51

How much do data monitoring jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data monitoring in Georgia is $23.52, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $31.98 per hour, depending on experience, location, and employer.

What is a data monitoring?

A Data Monitoring job involves tracking, analyzing, and ensuring the accuracy and integrity of data within a system or organization. Professionals in this role identify inconsistencies, detect anomalies, and maintain data quality by implementing validation processes. They often work with databases, reporting tools, and automation to monitor data in real-time. This role is critical in industries like healthcare, finance, and technology to ensure compliance and informed decision-making.

What are the typical responsibilities of a data monitoring professional on a day-to-day basis?

Data Monitoring professionals are responsible for continuously tracking and analyzing data streams for accuracy, consistency, and adherence to quality standards. Daily tasks often include reviewing data dashboards, investigating anomalies, generating reports, and collaborating with data analysts, engineers, and business stakeholders to address issues. You may also be involved in developing or refining data monitoring processes and ensuring data integrity across different systems. This role is vital for organizations that rely on accurate, real-time data to inform decisions and maintain compliance.

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

To thrive in Data Monitoring, you need strong analytical skills, attention to detail, and a good understanding of data management principles, often supported by a degree in statistics, computer science, or a related field. Familiarity with monitoring software, SQL, Excel, and data visualization tools, as well as certifications like CompTIA Data+, are commonly sought after. Excellent problem-solving abilities, effective communication, and the ability to work both independently and collaboratively help professionals stand out. These skills ensure accurate data oversight, quick identification of anomalies, and clear reporting to support informed business decision-making.

Is data monitoring a stressful job?

Data monitoring can be stressful depending on workload, deadlines, and the complexity of the data being analyzed. The role often requires attention to detail, use of monitoring tools, and sometimes working in fast-paced environments, which can contribute to stress levels. However, many professionals find it manageable with proper organization and experience.

What job categories do people searching Data Monitoring jobs in Georgia look for?

The top searched job categories for Data Monitoring jobs in Georgia are:

What cities in Georgia are hiring for Data Monitoring jobs?

Cities in Georgia with the most Data Monitoring job openings:

Infographic showing various Data Monitoring job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, 8% Part Time, and 17% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $48,929 per year, or $23.5 per hour.

Data Engineer

Speria

Atlanta, GA โ€ข On-site

$95 - $150/hr

Other

Posted 3 days ago

New


Job description

At Speria MTech, our company mission is to increase yield in protein production to help feed

the growing world population without compromising animal welfare or damaging the planet.

We aim to create software that delivers real-time data to the entire supply chain that allows

producers to get better insight into what is happening on their farms and what they can do to

responsibly improve production.

Speria MTech is the industry-leading provider for Live Animal Protein Production Performance

Management Tools. For over 30 years, Speria MTech has provided cutting-edge enterprise

data solutions for all aspects of the live poultry operations cycle. We provide our customers

with solutions in Business Intelligence, Live Production Accounting, Production Planning, and

Remote Data Managementโ€”all through an integrated system. Our applications can

currently be found running businesses on six continents in over 50 countries. Speria MTech

has built an international reputation for equipping our customers with the power to utilize

comprehensive data to maximize profitability.

With over 300 employees globally, Speria MTech currently has main offices in Mexico, United

States, and Brazil, with additional resources in key markets around the world. Speria MTechโ€™s

headquarters is based in Atlanta, Georgia and has approximately 90 team members in a

casual, collaborative environment. Our work culture here is based on a passion for helping

our clients feed the world, resulting in a flexible and rewarding atmosphere. We pride

ourselves for having a working atmosphere that encourages collaboration, exceptional

development tooling, training, and ongoing opportunities to work with senior and executive

management.

Job Summary

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team at

Speria MTech. The ideal candidate will play a crucial role in designing, building,

and maintaining scalable data pipelines and platforms that support machine learning,

optimization, and operational reporting systems. This role focuses on transforming data from

sensors, controllers, and enterprise systems into high-quality datasets using primarily batch

and scheduled processing workflows, with support for evolving near real-time use cases.

We seek a solution-oriented individual who can provide answers rather than just identify

problems. Embracing continuous change is key, as innovation and improvement are integral

to Speria MTech's culture. This person should have a service-minded attitude, demonstrating

a passion for enhancing the work of others and simplifying processes for stakeholders.

Essential Functions & Responsibilities

Essential responsibilities include and functions of the Data Engineer are:

  • Design and build batch and near real-time data pipelines
  • Develop transformation workflows for high-quality datasets
  • Ensure data quality, integrity, and reliability
  • Collaborate with MLEs for feature data readiness
  • Implement data monitoring and anomaly detection
  • Support synthetic data for testing and simulation
  • Optimize pipelines to remove redundancy and reduce costs
  • Improve performance, scalability, and efficiency
  • Maintain pipeline reliability and documentation
Qualifications, Skills, and Experience
  • Bachelorโ€™s degree in Computer Science, Engineering, or related field
  • 2โ€“4 years experience in data engineering or data systems
  • Experience with Apache Spark and large-scale data processing
  • Experience building batch pipelines in production
  • Experience with cloud platforms (e.g., Azure, Databricks)
  • Strong Python programming skills
  • SQL and Apache Spark expertise
Preferred Skills
  • Experience with batch and scheduled pipelines
  • Experience optimizing pipeline performance and cost
  • Familiarity with Azure ecosystem (Event Hub, Cosmos DB, Functions)
  • Experience with data quality monitoring and validation
  • Strong problem-solving and collaboration skills
EEO Statement

Integrated into our shared values is Speria MTechโ€™s commitment to diversity and equal

employment opportunity. All qualified applicants will receive consideration for employment

without regard to sex, age, race, color, creed, religion, national origin, disability, sexual

orientation, gender identity, veteran status, military service, genetic information, or any other

characteristic or conduct protected by law. Speria MTech is committed to being a globally

inclusive company where all people are treated fairly, recognized for their individuality,

promoted based on performance, and encouraged to strive to reach their full potential. We

believe in understanding and respecting differences among all people. Every individual at

Speria MTech has an ongoing responsibility to respect and support a globally diverse

environment.

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