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Data Integration Engineer Jobs in Colorado (NOW HIRING)

Deloitte

Integration Engineer II- AI & Engineering

Denver, CO · Hybrid

$107K - $144K/yr

Integration Engineer II- AI & Engineering Join our AI & Engineering team in transforming technology ... Implement and manage Electronic Data Interchange (EDI) processes, including configuration of ...

True Anomaly

Software Integration Engineer

Denver, CO · On-site

$107K - $144K/yr

As a Software Integration Engineer at True Anomaly, you will operate across the full mission ... data analysis systems * Lead architectural improvements through hands-on implementation ...

SciTec

Software Integration Engineer

Boulder, CO · On-site

$146K - $172K/yr

Our teams focus on low-latency data processing for exploitation of remote sensing systems. Our ... engineer who can coordinate across multiple teams, lead a team to integrate multiple components ...

SciTec

Software Integration Engineer

Boulder, CO · On-site

$146K - $172K/yr

Our teams focus on low-latency data processing for exploitation of remote sensing systems. Our ... engineer who can coordinate across multiple teams, lead a team to integrate multiple components ...

SciTec

Software Integration Engineer

Boulder, CO

$146K - $172K/yr

Our teams focus on low-latency data processing for exploitation of remote sensing systems. Our ... engineer who can coordinate across multiple teams, lead a team to integrate multiple components ...

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All JobsData Integration Engineer JobsData Integration Engineer Jobs in Colorado

Data Integration Engineer information

See Colorado salary details

$10

$54

$88

How much do data integration engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data integration engineer in Colorado is $54.35, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $61.15 per hour, depending on experience, location, and employer.

What are some common challenges Data Integration Engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

What are Data Integration Engineers?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

What are the key skills and qualifications needed to thrive as a Data Integration Engineer, and why are they important?

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What is the difference between Data Integration Engineer vs Data Engineer?

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What are popular job titles related to Data Integration Engineer jobs in Colorado? For Data Integration Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Integration Engineer jobs in Colorado look for? The top searched job categories for Data Integration Engineer jobs in Colorado are:
Data Integration Engineer jobs near you
Mission Integration Engineer - TS/SCI Cleared with Security Clearance

Mission Integration Engineer - TS/SCI Cleared with Security Clearance

Zachary Piper Solutions, LLC

Arvada, CO • Hybrid

$120K - $180K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Zachary Piper Solutions is seeking a Mission Integration Engineer to support the development and deployment of integrated satellite ground systems for commercial and government customers. This role is critical to enabling complex space missions by translating technical requirements into mission-ready solutions and leading system-level integration activities. Must hold an active a TS/SCI Clearance.

This position will be in Arvada, Colorado or Washington D.C. This is a Hybrid role Responsibilities of the Mission Integration Engineer: Lead technical integration efforts for customer space missions, ensuring seamless deployment of ground systems. Translate mission requirements and operational concepts into actionable system designs aligned with platform capabilities.

Coordinate integration of spacecraft, ground stations, and cloud infrastructure into a unified mission architecture. Own the verification and validation (V&V) process across mission threads including telemetry, commanding, automation, and analytics. * Serve as the technical point-of-contact for onboarding new missions, managing design reviews and readiness milestones.

Develop and maintain Interface Control Documents (ICDs) and requirements verification documentation. Support mission readiness activities, including simulations, operator training, and on-console shifts during early orbit operations. Qualifications of the Mission Integration Engineer: 5+ years of hands-on systems engineering or mission integration experience in the space domain Active TS/SCI clearance required Experience in the design, development, testing, and/or verification of spacecraft ground systems Prior involvement in pre-launch and on-orbit operations of satellite missions, especially with government customers Familiarity with TT&C architectures, satellite operations software, and spacecraft communications/data handling subsystems Understanding of cloud-based ground systems and satellite operations automation Proficiency in scripting or software languages (e.g., Python, Bash) for test automation and system configuration Experience with containerized deployments (e.g., Docker, Kubernetes) and AWS GovCloud (preferred).

Compensation for the Mission Integration Engineer: * Salary Range: $120,000-180,000 depending on experience * Full Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave if required by law, and Holidays #LI-CJ2 #LI-HYBRID Keywords: Mission Integration, Satellite Ground Systems, Telemetry Tracking and Command (TT&C), Spacecraft Operations, Systems Engineering, Mission Architecture, Cloud-Based Ground Systems, Satellite Operations Automation, Python, Bash, Docker, Kubernetes, AWS GovCloud, Verification and Validation (V&V), Interface Control Documents (ICDs), Satellite Communications, Data Handling Subsystems, Low Earth Orbit (LEO), Geostationary Orbit (GEO), Medium Earth Orbit (MEO), Hybrid Commercial/Government Operations, Pre-Launch Testing, Mission Simulations, On-Orbit Operations, Customer Onboarding, Technical Project Management, Cross-Team Coordination, Operator Training, Mission Support Planning, TS/SCI Clearance.

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