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Data Monitoring Jobs in Colorado (NOW HIRING)

Long Finch Technologies

$107K - $129K/yr

Monitor, troubleshoot, and improve data pipeline performance and reliability. * Work with DevOps tools and practices including Jenkins and Maven for deployment automation. Required Experience ...

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Data Monitoring information

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$9

$28

$62

How much do data monitoring jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data monitoring in Colorado is $28.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $38.69 per hour, depending on experience, location, and employer.

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 is an example of data monitoring?

Data monitoring in a data monitoring role involves continuously tracking data quality, system performance, or key metrics using tools like dashboards or automated alerts. For example, monitoring server logs to detect unusual activity or tracking data accuracy in real-time ensures data integrity and operational efficiency.

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.

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 popular job titles related to Data Monitoring jobs in Colorado?

For Data Monitoring jobs in Colorado, the most frequently searched job titles are:

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

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

Data Monitoring jobs near you
Infographic showing various Data Monitoring job openings in Colorado as of August 2026, with employment types broken down into 77% Full Time, 7% Part Time, and 16% Contract. Highlights an 88% In-person, 8% Hybrid, and 4% Remote job distribution, with an average salary of $59,197 per year, or $28.5 per hour.

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Englewood, CO • On-site

$113K - $135K/yr

Full-time

Posted 16 days ago

Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
  • Develop ETL/ELT solutions using AWS services.
  • Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon Athena, Amazon Redshift and Amazon RDS.
  • Design and implement scalable data architectures while ensuring data quality, security, and integrity.
  • Develop data processing workflows to support large-scale data ingestion and transformation.
  • Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.
  • Work with DevOps tools and practices including Jenkins and Maven for deployment automation.
Required Experience & Skills
  • 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
  • Strong hands-on experience with AWS cloud services and Big Data technologies.
  • Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
  • Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
  • Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
  • Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
  • Experience working with Hadoop and other Big Data technologies.
  • Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
  • Experience with Unix/Linux environments and scripting.
  • Familiarity with DevOps tools such as Jenkins and Maven.
  • Experience with monitoring and logging tools such as Splunk is preferred.
  • Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.

Apply