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Data Storage Engineer Jobs in Colorado (NOW HIRING)

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... optimizing data storage solutions for performance and cost-efficiency. This role requires ... lead developers to identify and document manual data movement workflows and design automation ...

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Expertise in data storage optimization * Familiarity with data governance practices * Ability to ...

Data engineer

Denver, CO · On-site

$117K - $141K/yr

  • Retirement

... storage and retrieval • Implement data security and privacy measures • Stay up-to-date with emerging trends and technologies in data engineering Qualifications : Required : • Bachelor's or ...

Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Manage and optimize data storage solutions, including distributed file systems, relational ... Programming experience with Python and/or Scala. * Experience with large-scale data processing with ...

Data Engineer - Manager

Denver, CO

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... storage across batch and real-time data processing - Building, maintaining, and improving Data ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Data Engineer - Senior Associate

Denver, CO · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP ...

Big Data Architect

Aurora, CO · On-site

$64.75 - $83.25/hr

... storage and processing systems. Responsibilities : • Design and implement end-to-end big data ... programming in Python or Scala • Strong knowledge of NoSQL databases • Ability to design ...

Showing results 21-40

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.

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.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 21 days ago


Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
- Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
- Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight