ZipRecruiter

Log In

1

Data Storage Engineer Jobs in Colorado (NOW HIRING)

Alpine Banks of Colorado

Data Engineer I

Rifle, CO · On-site

$80K - $110K/yr

Ensures data storage solutions are secure and compliant with relevant regulations through ... Keeps up to date with the latest trends and technologies in data engineering. * Regular and ...

Cymertek Corporation

Data Modeler

Aurora, CO · On-site

$55.50 - $72/hr

... data engineers and analysts to ensure data accessibility across platforms. Responsibilities : • ... data storage solutions • Ability to collaborate with cross-functional teams Preferred : • ...

Alpine Bank

Data Engineer I

Rifle, CO · On-site

$80K - $110K/yr

Ensures data storage solutions are secure and compliant with relevant regulations through ... Keeps up to date with the latest trends and technologies in data engineering. * Regular and ...

Artech Information System LLC

Big Data Architect

Centennial, CO · On-site

$65.50 - $84.25/hr

Centennial, CO Duration: 12+ Months Designs and builds relational databases for data storage or ... At least 1 year hands on experience in spark programming especially spark SQL Experience designing ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage) * Experience with DBT, Docker, CI ...

Cymertek Corporation

Data Modeler

Aurora, CO · On-site

$90 - $120/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is ... Experience with cloud-based data storage solutions * Ability to collaborate with cross-functional ...

previous page

Showing results 41-60

All JobsData Storage Engineer JobsData Storage Engineer Jobs in Colorado

Data Storage Engineer information

See Colorado salary details

$10

$59

$87

How much do data storage engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data storage engineer in Colorado is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $69.76 per hour, depending on experience, location, and employer.

What is a data storage engineer?

A Data Storage Engineer is responsible for designing, implementing, and managing data storage solutions to ensure efficient, secure, and scalable data access. They work with technologies like SAN, NAS, cloud storage, and backup systems to optimize data performance and availability. Their role includes troubleshooting storage issues, maintaining data integrity, and collaborating with IT teams to support business needs.

What are the key skills and qualifications needed to thrive as a data storage engineer?

To thrive as a Data Storage Engineer, you need a deep understanding of storage architectures (SAN, NAS, DAS), data management, and backup and recovery strategies, typically supported by a degree in computer science or a related field. Experience with enterprise storage systems (such as NetApp, EMC, or Dell), storage networking protocols, and certifications like SNIA or vendor-specific credentials is highly valued. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for excelling in this role. These abilities ensure the reliable management, security, and availability of critical data assets for organizations.

What are common challenges data storage engineers face, and how do they typically address them?

Data Storage Engineers often encounter challenges such as managing rapidly growing data volumes, ensuring high availability, and implementing robust backup and disaster recovery solutions. To overcome these, they proactively monitor storage environments, optimize configurations, and stay updated on the latest storage technologies and best practices. Collaboration with IT, network, and security teams is essential to address performance issues, data migrations, and system upgrades. By balancing immediate technical needs with long-term scalability and security, they help organizations safeguard and efficiently utilize their data resources.

Data Storage Engineer jobs near you
Infographic showing various Data Storage Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,939 per year, or $59.1 per hour.

Data Engineer, gTech Users and Products Engineering

Socket.dev

Boulder, CO • On-site

$106 - $150/hr

Other

Posted yesterday

New

Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 1 year of experience coding in one or more programming languages.
  • 1 year of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
  • Experience working with data models by performing exploratory queries and scripts.
Preferred qualifications:
  • Experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
  • Experience developing project plans and delivering projects on time within budget and scope.
  • Experience designing data models, data warehouses, and modeling complex business processes or real-world business data.
  • Experience writing and maintaining ETL pipelines for structured and unstructured sources, alongside large-scale distributed data processing.
  • Proficiency with Unix or Linux environments and non-relational data storage systems, including NoSQL and distributed databases.
  • Excellent written communication, organizational, and investigative skills.
About the job:

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $106000 - $150000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Leverage advanced AI to design, develop, and support robust, full-stack data pipelines, warehouses, and reporting systems.
  • Create, optimize, and modify scalable ETL processes using traditional and large-scale distributed data systems to manage evolving business demands.
  • Partner closely with data scientists to transition, scale, and productionize statistical and machine learning models within data processing pipelines.
  • Align and collaborate with product, user, and engineering stakeholders to ensure data infrastructure meets dynamically evolving operational requirements.
  • Author comprehensive technical design documents while managing continuous innovation using investigative tools for business insights.
#J-18808-Ljbffr

Apply