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Data Integration Engineer Jobs in Colorado (NOW HIRING)

Symmetrio

Data Engineer

Denver, CO

$115K - $140K/yr

The Data Engineer will join our customer's team and design, build, and maintain scalable data ... Partner with the API/Services team to build and maintain integrations between APIs, microservices ...

Symmetrio

Data Engineer

Denver, CO · On-site

$115K - $140K/yr

The Data Engineer will join our customer's team and design, build, and maintain scalable data ... Partner with the API/Services team to build and maintain integrations between APIs, microservices ...

CommonSpirit Health

Sr IT Integration Engineer

Englewood, CO · On-site

$103K - $139K/yr

Job Summary and Responsibilities As an IT Sr. Integration Engineer, you will be a central figure ... secure data exchange across the enterprise. Every day, you will leverage your deep technical ...

CommonSpirit Health

Sr IT Integration Engineer

Englewood, CO · On-site

$102K - $138K/yr

As an IT Sr. Integration Engineer, you will be a central figure responsible for the advanced design ... secure data exchange across the enterprise. Every day, you will leverage your deep technical ...

Quindar

Ground System Integration Engineer

Denver, CO · On-site

$110K - $170K/yr

Preferred experience with satellite communication protocols such as CCSDS, CSP, CFDP, IP and data ... Highly adaptable; you will integrate a wide variety of missions into Quindar's software and will ...

Quindar Inc.

Ground System Integration Engineer

Arvada, CO · On-site

$105K - $142K/yr

Preferred experience with satellite communication protocols such as CCSDS, CSP, CFDP, IP and data ... Highly adaptable; you will integrate a wide variety of missions into Quindar's software and will ...

Ascot Group

Data Engineer

Denver, CO · On-site

$95K - $110K/yr

Position Overview As part of the Data Integration & Delivery Team, the Data Engineer position will be responsible for the analysis, development, implementation, testing, and ongoing support of data ...

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Data Integration Engineer information

See Colorado salary details

$10

$54

$88

How much do data integration engineer jobs pay per hour?

As of Sep 14, 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 is a data integration engineer?

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?

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 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 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 does a data integration engineer do?

A data integration engineer designs, develops, and maintains systems that combine data from multiple sources to ensure accurate and efficient data flow within an organization. They often use tools like ETL (Extract, Transform, Load) processes, SQL, and data pipelines, and require knowledge of databases and scripting languages. Their work supports data analysis, reporting, and decision-making processes.

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
Infographic showing various Data Integration Engineer job openings in Colorado as of August 2026, with employment types broken down into 73% Full Time, 11% Part Time, and 16% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $113,039 per year, or $54.3 per hour.

Data Engineer

Denver, CO

Symmetrio
See more jobs at Symmetrioexternal

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Symmetrio is recruiting for a Data Engineer on behalf of our customer, a leading and innovative healthcare technology organization dedicated to improving patient outcomes through advanced clinical data and technology solutions. The Data Engineer will join our customer's team and design, build, and maintain scalable data solutions that support their growing needs.

The ideal candidate has healthcare or regulated industry experience, is based in or able to work on-site in Denver, CO, and brings strong experience with Microsoft Fabric, Azure SQL, SQL Server, ETL/ELT pipelines, data integration, and data modeling. Candidate will work closely with the DBA, API/Services team, and business stakeholders to develop reliable, scalable data solutions.

This is a full-time, on-site position in Denver, CO, offering a $115,000-$140,000 annual salary, depending on experience. The position also includes a 401(k) retirement plan, PTO, and a comprehensive benefits package.

Responsibilities
  • Design, develop, and maintain scalable and reliable ETL/ELT pipelines for data ingestion, transformation, and loading across Azure SQL and SQL Server environments.
  • Partner with the API/Services team to build and maintain integrations between APIs, microservices, and database systems, ensuring efficient data exchange and synchronization.
  • Collaborate with the DBA to develop and optimize database schemas and data models that support application, operational, and reporting requirements.
  • Establish and maintain processes for data quality assurance, including monitoring, validation, and data integrity throughout the pipeline.
  • Work across technical teams and with business stakeholders to understand data requirements and translate them into effective data solutions.
  • Develop and maintain clear documentation for data pipelines, data models, integrations, and processes to support knowledge transfer and ongoing development.
  • Apply data security, privacy, and compliance best practices throughout the data engineering lifecycle, working with the DBA on database-level controls and policies.
  • Transform, aggregate, and prepare data to support analytics, reporting, Power BI, dashboards, and other business intelligence initiatives.

Requirements

  • Proven experience with Azure SQL and SQL Server.
  • Hands-on experience with Microsoft Fabric.
  • Hands-on experience building and maintaining ETL/ELT pipelines.
  • Familiarity with data integration best practices and tools.
  • Knowledge of Power BI or similar visualization tools.
  • Strong understanding of relational database design and data modeling.
  • Experience in cross-functional collaboration and stakeholder communication.
  • Understanding of data security, privacy, and compliance considerations.
  • Strong analytical and problem-solving skills.
  • Experience with Azure Data Factory or SSIS, exposure to healthcare or other regulated environments, and an Azure Data Engineer Associate certification are preferred but not required.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Paid Time Off (Vacation, Sick & Public Holidays)

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