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Data Monitoring Jobs in Colorado (NOW HIRING)

Data Analyst

Boulder, CO · On-site

$100 - $150/hr

A successful candidate will establish real time monitoring of laboratory systems and accelerate product development by facilitating data integrity and real time analysis and dashboards for a variety ...

Data Manager

Englewood, CO · On-site

$130 - $160/hr

Support data integration and migration efforts between systems and platforms ... Monitor system performance and proactively implement improvements to enhance scalability and reduce ...

New

Data Analyst

Almont, CO · On-site

$55 - $65/hr

Stay current with research and industry developments in continuous glucose monitoring devices ... Analyze and interpret data from digital solutions to improve trial outcomes. Experience ...

Monitor and ensure reliability and accuracy of ETL processes * Improve and automate data pipeline monitoring * Maintain and enhance Spark and SQL-based transformations * Design and implement new data ...

New

Data Management Specialist

Denver, CO · On-site

$70K - $92K/yr

Create, update, and maintain data assets and records that support grants administration, monitoring, and oversight activities. * Support proper organization, maintenance, and documentation of records ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Set up monitoring, alerting, and workflow visibility * Contribute to orchestration design and ... Maintain documentation, data flow diagrams, and catalogs Required Experience * 3+ years in data ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Set up monitoring, alerting, and workflow visibility * Contribute to orchestration design and ... Maintain documentation, data flow diagrams, and catalogs Required Experience * 3+ years in data ...

Data Engineer

Highlands Ranch, CO · On-site

$116K - $140K/yr

Triage and resolve pipeline failures, monitor pipeline and data health, and implement alerting that identifies issues before downstream consumers are affected. * Manage source schema changes ...

Data Engineer I

Rifle, CO · On-site

$80K - $110K/yr

Monitors and manages the performance of data systems. * Data Quality and Integrity: * Implements data quality checks and validation processes. * Troubleshoots data issues ensuring data accuracy and ...

Monitor data pipelines feeding agents and anomaly detection models. Ensure upstream data is landing on time and in expected format. Triage and resolve production issues independently. Escalate to ...

Data Engineer I

Denver, CO · On-site

$80K - $110K/yr

Monitors and manages the performance of data systems. * Data Quality and Integrity: * Implements data quality checks and validation processes. * Troubleshoots data issues ensuring data accuracy and ...

MLOps & Data Engineer

Lone Tree, CO · On-site

$117K - $140K/yr

Monitor data pipeline and model serving health, participating in on-call rotation for data infrastructure. Qualifications You Must Have: * Bachelor's degree in Computer Science, Data Engineering, or ...

New

Showing results 41-60

Data Monitoring information

See Colorado salary details

$9

$28

$62

How much do data monitoring jobs pay per hour?

As of Sep 4, 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 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.
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.

$100 - $150/hr

Other

Medical, Dental, Vision, Retirement

Posted 17 days ago


Key responsibilities

  • Perform ad hoc statistical analysis on experimental data using frequentist and Bayesian methods as appropriate.

  • Develop and implement analysis pipelines to ensure reproducible and rigorous results.

  • Create dashboards for real-time monitoring of laboratory processes and data results.


Job description

About Alta

Alta Resource Technologies (Alta) is a next generation mining company that uses synthetic biology to separate critical minerals from conventional and unconventional resources, including e-waste. Founded in 2023, the company is expanding its team in Boulder, CO. The exponential growth of new tech industries, as well as the information technology sector, are driving historic growth in mineral demand and stressing existing supply streams. Meeting new demand, diversifying the supply chain, and producing minerals in a more sustainable manner requires the rapid development, deployment and scaling of new technologies. This mineral challenge represents a historic opportunity for technology development and value creation. Alta is proud to be at the vanguard of this mega trend.


Role Summary

We are seeking a Data Analyst with experience handling diverse scientific datasets. The person in this position will be tasked with performing ad hoc analysis and developing pipelines to securely store raw data, catalog this data and prepare it for downstream analysis. A successful candidate will establish real time monitoring of laboratory systems and accelerate product development by facilitating data integrity and real time analysis and dashboards for a variety of data types. This position will report to the VP Data and Information Systems.


Key Responsibilities

  • Experimental Design and Planning: Collaborate with technical teams to ensure statistical rigor by supporting randomized experimental design and evaluating assay performance through power analysis.

  • Robust Statistical Analysis: Perform ad hoc statistical analysis on novel experiments, applying frequentist methods (ANOVA, regression, GLM) as the standard approach, with Bayesian methods where appropriate (e.g., small samples, sequential designs, incorporating prior data).

  • Develop Analytical Pipelines: Develop standard analysis pipelines to ensure rigorous, reproducible results as projects advance.

  • Develop Data Dashboards: Develop dashboards that allow key stakeholders to monitor processes and results in real time.

  • System Integration: Develop processes to ensure data management is integrated with other support systems (LIMS, JIRA, etc)

  • Cross-Functional Collaboration: Partner with technical and project leads across process engineering, chemistry, biology, and biotech to ensure data and data reports are available to the appropriate stakeholders.

  • Documentation & Testing: Ensure all data packages and pipelines are documented and tested.


Required Qualifications

  • Experience level:


    • Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics, Cheminformatics, or related fields with 5-8 years of experience, or a PhD with 3-5 years of experience.


  • Strong grounding in frequentist statistics (DOE, ANOVA, regression); familiarity with Bayesian methods a plus.

  • Understanding and experience with Design of Experiment (DOE) approaches.

  • Proficiency with Python.

  • Proficiency with workflow management tools such as Nextflow or Snakemake.

  • Understanding of version control and experience with version control systems such as git.

  • Experience with dashboard development tools such as Dash or Streamlit.

  • Please note: Applicants must be authorized to work for ANY employer in the U.S.


Preferred, But Not Required

  • Experience with process engineering.

  • Experience with common cloud providers (AWS/Azure).

  • Experience analyzing spectroscopy and spectrometry data.

  • Experience with common biological assays, including fluorometric assays, protein quantification, or gel electrophoresis.

  • Experience with shell scripting (Bash, Zsh, etc).

  • Experience with FAIR data principles.


What We Offer

  • The opportunity to lead a breakthrough program redefining U.S. supply chain resilience in critical materials.

  • A mission-driven, high-trust team operating at the intersection of innovation, national security, and sustainability.

  • High Impact & Visibility: Direct interaction and reporting to executive leadership.

  • Competitive compensation and benefits package.

    • The starting annual salary range for this position is $100,000 to $150,000 commensurate with educational background and work experience.

    • Benefits include:

      • 401(K)

      • Medical, Dental, Vision plans (or equivalent)

      • Flexible Time Off

      • Paid Parental Leave

      • Paid Sick Leave

      • Company Holidays






EOE

Alta Resource Technologies is an equal opportunity employer committed to building a workforce that reflects the diversity of the communities we serve. We believe that varied perspectives, experiences, and backgrounds strengthen our team and drive better outcomes for our clients and partners.


We welcome and encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. Our hiring decisions are based solely on qualifications, merit, and the needs of the business. Alta participates in e-Verify for all positions.


If you require accommodations at any point in the hiring process, please let your recruiter know.


For information about Alta's privacy practices, see our Privacy Policy.

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