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Data Monitoring Jobs in Colorado (NOW HIRING)

Ibotta, Inc

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Experience with schema validation, data freshness monitoring, data observability tooling, or similar quality practices. * AI Tooling: Experience using and/or building LLMs, NQLs, and other AI-related ...

Ibotta

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Experience with schema validation, data freshness monitoring, data observability tooling, or similar quality practices. * AI Tooling: Experience using and/or building LLMs, NQLs, and other AI-related ...

Fluid Consulting Services

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 ...

Fluid Consulting Services

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 ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

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 ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO

$115K - $139K/yr

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 ...

Polar IT

AWS Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

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 ...

Kharon

Data Engineer

Denver, CO

$120K - $160K/yr

Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake. * Collaborate with engineers, architects, and data scientists to implement scalable ...

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Data Monitoring information

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How much do data monitoring jobs pay per hour?

As of Jul 2, 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 jobs make $1,000,000 a year?

In the field of data monitoring, high-paying roles such as Chief Data Officer or Data Science Director can reach or exceed $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data analysis and management, and often involve leadership responsibilities and strategic decision-making.

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 40 too late for data science?

Data monitoring professionals and those transitioning into data science can start at any age, including 40. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, along with continuous learning and experience. Age is less important than skill development and practical knowledge in the field.

Is data analysis a well-paid job?

Data analysis is generally considered a well-paid profession, with salaries varying based on experience, industry, and location. Skilled analysts proficient in tools like Excel, SQL, and data visualization software tend to earn higher wages, especially with certifications or advanced degrees.

What is a Data Monitoring job?

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 does a data monitor do?

A data monitor is responsible for reviewing and analyzing data to ensure accuracy, consistency, and quality. They often use tools like spreadsheets or data management software and may set up alerts or reports to identify issues or trends in the data. This role requires attention to detail and understanding of data integrity standards.
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 June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $59,197 per year, or $28.5 per hour.
Data Engineer

Data Engineer

Ibotta, Inc

Denver, CO • On-site

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

Job description

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization, you will join our newly formed Data Intelligence Squad to make Ibotta's data AI-ready.
We are looking for a highly motivated data engineer who cares about the craft of clean, well-governed data and understands why it matters more than ever in an AI-driven environment. You'll work on the data contract and metadata standards that underpin everything the squad builds, the compliance tooling that keeps Ibotta's data estate clean and auditable, and the pipelines that feed our AI readiness scoring system. You'll grow into LLM application development and semantic layer work as the team evolves.
This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.
Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.
What you will be doing:
  • Data Contract and Metadata Standards: Implement and maintain data contract specifications that codify table ownership, schema expectations, and quality thresholds; enforce standards through automated validation in the deployment pipeline; collaborate with data owners to improve metadata coverage across the team's data estate
  • AI Readiness Scoring: Contribute to an automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use; build and maintain the jobs that collect quality signals and surface scores to data teams
  • AI Governance and Compliance: Support the discovery and classification of sensitive data across the data estate; maintain tagging and lineage automation frameworks; help translate data access and privacy policies into practical guardrails in partnership with the platform team; monitor AI usage across the company, defining new avenues for AI assistance
  • AI Trust and Reliability: Build the systems that make people actually trust what the AI tells them about our data, such as query accuracy checks, guardrails that keep AI tools on certified data, and clear attribution so users can see where an answer came from; make sure we have the monitoring in place to catch problems before they erode confidence.
  • Semantic Layer Contributions: Build and maintain the semantic framework that make data assets more legible to both people and AI systems, adding descriptions, context, and query guidance that improve the accuracy of natural language queries; work with analysts and domain experts to capture and formalize business definitions
  • AI-Augmented Development: Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems
  • Cross-team Collaboration: Partner with adjacent teams to onboard data assets into the AI-ready platform, document processes and contribute to the team's shared knowledge base
  • Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and A good idea can come from anywhere.

What we are looking for:
  • Experience: 3+ years of software engineering experience with a focus on data engineering, analytics engineering, or backend development.
  • Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and familiarity with medallion architecture (bronze/silver/gold) or similar layered data design patterns.
  • Semantic Modeling: Experience implementing semantic layers to ensure AI agents utilize governed, consistent metric definitions rather than querying raw tables directly
  • Data Governance: Understanding of data governance concepts (metadata standards, data ownership, schema enforcement, access control) and experience keeping data assets clean and well-documented.
  • Data Quality Fundamentals: Experience with schema validation, data freshness monitoring, data observability tooling, or similar quality practices.
  • AI Tooling: Experience using and/or building LLMs, NQLs, and other AI-related toolings, especially in relation to data analytics. Proficiency in AI-assisted coding platforms (Claude, Copilot, Cursor, etc.) a plus.
  • Education: Bachelor's degree in Computer Science, Engineering, or a related field.

Experience with the following a strong plus:
  • Experience with data catalog, metadata management, or data transformation tooling
  • Exposure to data privacy, classification, or compliance requirements in a data context
  • Familiarity with configuration-as-code or automated deployment workflows
  • Experience with data observability or data quality monitoring
  • Agile development experience

About Ibotta ("I bought a...")
Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
  • This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals.
  • Base compensation range: $110,000 - $126,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.
  • Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • Applicants are accepted until the position is filled.
  • For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

Recruiting Agency Notice
Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.
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