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Metadata Analyst Jobs in Colorado (NOW HIRING)

Quantum

Product Manager - ActiveScale

Centennial, CO

... metadata architecture, hybrid-cloud workflows, and cost-optimized storage tiers. * Identify and validate new market opportunities across AI/ML storage pipelines, media workflows, HPC, analytics ...

Quantum

Product Manager - ActiveScale

Centennial, CO · On-site

$120K - $160K/yr

... metadata architecture, hybrid-cloud workflows, and cost-optimized storage tiers. * Identify and validate new market opportunities across AI/ML storage pipelines, media workflows, HPC, analytics ...

Lorven Technologies

Cloud Engineer

Denver, CO · On-site

$57.25 - $76.75/hr

Pipeline Architecture and Metadata Ingestion: Develop robust ETL/ELT pipelines to ingest data from transactional systems (Line of Business) into the analytical Snowflake environment or to ingest ...

Starz

Broadcast Media IP Engineer

Greenwood Village, CO · On-site

... and metadata, identifying and resolving issues impacting quality and reliability. * Respond to incidents, perform structured troubleshooting, and contribute to root cause analysis and corrective ...

Lorven technologies

Data Ops Informatica

Denver, CO · On-site

$70 - $80/hr

Pipeline Architecture and Metadata Ingestion: Develop robust ETL/ELT pipelines to ingest data from transactional systems (Line of Business) into the analytical Snowflake environment or to ingest ...

Starz

Broadcast Media IP Engineer

Denver, CO · Hybrid

... and metadata, identifying and resolving issues impacting quality and reliability. * Respond to incidents, perform structured troubleshooting, and contribute to root cause analysis and corrective ...

Vizient, Inc.

Lead Data Scientist

Centennial, CO

Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools. Experience with vector databases, semantic search technologies, knowledge graphs, metadata management, or ...

Vizient

Lead Data Scientist

Englewood, CO · On-site

Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools. * Experience with vector databases, semantic search technologies, knowledge graphs, metadata management ...

Colorado PERA

Data Governance Program Manager

Denver, CO · On-site

$105K - $130K/yr

... Data and Analytics, develop, implement, and continuously enhance a comprehensive enterprise data governance framework, including policies, standards, and procedures for data quality, metadata ...

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All JobsMetadata Analyst JobsMetadata Analyst Jobs in Colorado

Metadata Analyst information

See Colorado salary details

$32.6K

$77K

$136.7K

How much do metadata analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for metadata analyst in Colorado is $77,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $91,500.00 per year, depending on experience, location, and employer.

What is a Metadata Analyst job?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

How much does a metadata analyst make?

A metadata analyst at Netflix typically earns between $70,000 and $110,000 annually, depending on experience and location. Salaries may also include benefits such as health insurance and stock options, and the role often requires proficiency with data management tools and metadata standards.

How much does a metadata analyst make in the US?

A metadata analyst in the US typically earns between $50,000 and $85,000 annually, depending on experience, location, and industry. Entry-level positions may start around $45,000, while experienced analysts with specialized skills can earn over $90,000. The role often requires proficiency in data management tools and attention to detail.

What are some typical challenges a Metadata Analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

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

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a metadata analyst, such as data cleaning and pattern recognition, but it does not fully replace the need for human expertise in interpreting data, making strategic decisions, and ensuring data quality. Data analysts are increasingly required to work alongside AI tools, leveraging skills in data management, analysis, and visualization to add value. The role continues to evolve with a focus on combining technical proficiency with domain knowledge and critical thinking.

What does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and ensuring the accuracy of metadata, which is data that describes other data. They often work with data management tools, perform quality checks, and develop standards to improve data retrieval and usability within organizations.
What are popular job titles related to Metadata Analyst jobs in Colorado? For Metadata Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Metadata Analyst jobs in Colorado look for? The top searched job categories for Metadata Analyst jobs in Colorado are:
Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Hybrid job distribution, with an average salary of $77,035 per year, or $37 per hour.

Systems Software Engineer - Object Storage

Quantum

Centennial, CO • On-site

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate, protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO). For more information, visit www.quantum.com.
We are seeking a Senior Object Storage Software Engineer to design, implement, and optimize the object storage data path and core distributed services of our scale-out object storage platform. You will own software from the moment an object request hits the network interface through request processing, metadata operations, data placement, and durable persistence across the cluster.
This is a deep systems role for engineers passionate about low-latency code paths, high concurrency, and distributed systems correctness at scale.
Key Responsibilities
Object Storage Data Path
  • Design and optimize the object request pipeline for PUT/GET/DELETE and background operations, focusing on predictable latency, high throughput, and efficient CPU/memory usage in the critical path.
  • Build and maintain data path components such as request parsing/validation, routing, throttling, buffering, streaming I/O, and zero-copy / reduced-copy transfers where applicable.
  • Implement and tune distributed caching (read cache / metadata cache) and request coalescing strategies to reduce backend amplification and improve tail latency.
  • Identify and eliminate bottlenecks end-to-end (network → CPU → storage), leveraging deep Linux profiling and systems debugging skills.

Core Object Services & Distributed Architecture
  • Architect and evolve scale-out services for object metadata, namespace/indexing, placement, and cluster membership/state required for large clusters.
  • Design and maintain scalable, high-performance components such as metadata management and data placement algorithms across multi-node deployments.

Durability, Integrity & Resilience
  • Implement and maintain durability features such as erasure coding, replication, background healing, snapshots (where applicable), thin provisioning concepts, and data scrubbing to deliver "six nines" class durability.
  • Ensure correctness under failures: node loss, disk faults, partial writes, network partitions, and rolling upgrades-without compromising data integrity.

Concurrency, Locking & Correctness
  • Solve high-concurrency challenges in the object and metadata paths using robust synchronization strategies, lock minimization, and asynchronous execution models to maximize multi-core CPU utilization.
  • Apply careful correctness reasoning around ordering, idempotency, and race conditions in distributed request flows.

Scalability & Cluster Operations
  • Ensure the object data path and background systems scale linearly as nodes are added, including rebalancing and reconstruction workflows that minimize customer-visible impact.
  • Collaborate cross-functionally to integrate other platform components into the solution and operate effectively with remote teams.

Required Qualifications
  • 12+ years of software development experience using C/C++, Rust (or equivalent systems-level expertise).
  • Strong experience with distributed systems and high-performance storage software design.
  • Strong Linux experience, including debugging, profiling, and performance analysis of complex systems.
  • Solid understanding of concurrency, locking, and asynchronous programming models.
  • Strong communication skills; ability to collaborate in a team environment and across functions; ability to work effectively with remote teams.
  • Self-motivated, able to identify and solve problems independently, creative problem-solving mindset.
  • Willing and able to come to our office in Centennial, CO during core business hours (Tuesday - Thursday 10am-4pm).

Preferred / Nice-to-Have Skills
  • Experience with the Linux I/O subsystem and networking (plus).
  • Experience with storage protocols, clustering design and development (plus).
  • Experience with containers and Kubernetes (plus).
  • Experience using Git and Jira.
  • Experience with Amazon AWS S3 API, SDK's & Tools.
  • Experience with AI tools or programming is a plus (especially for modern data pipelines and workload integration).

Quantum provides a diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. We also support our team members' efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. Quantum offers a company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. We also have an Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate.
Anticipated Salary Range: $130,000 to $170,000 for qualified applicants.
The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations.
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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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