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Data Integration Engineer Jobs in Colorado (NOW HIRING)

SCN BestCo

Senior Data Integration Engineer

Golden, CO · On-site

SCN BestCo is a leading innovator in the Vitamin, Mineral & Supplement industry, seeking a Senior Data Integration Engineer to enhance their data management capabilities. The role involves extracting ...

Apex Systems

Integration/Data Engineer

Denver, CO · Hybrid

Job#: 3034728 Integration/Data Engineer (Databricks) Project Overview: The Veterans Experience Office (VEO) leads VA's strategy to create meaningful Customer Experience (CX) between Veterans and VA ...

Technical Source

ZVA Integration Engineer

Denver, CO

$106.60K - $143.60K/yr

CCaaS Integration Engineer Team: Customer Experience / Integrations & Professional Services Level ... Exchange data in real time or near real time * Trigger workflows and events across systems

Cymertek

Software Integration Engineer

Aurora, CO · On-site

$106K - $142.70K/yr

Knowledge of data exchange protocols (e.g., REST, SOAP) * Ability to manage software integration projects REQUIRED SKILLS * Proficiency in programming languages (e.g., Java, Python) * Strong ...

Cymertek

Software Integration Engineer

Aurora, CO · On-site

$106K - $142.70K/yr

Knowledge of data exchange protocols (e.g., REST, SOAP) * Ability to manage software integration projects REQUIRED SKILLS * Proficiency in programming languages (e.g., Java, Python) * Strong ...

Cymertek

Data Warehouse Engineer

Aurora, CO · On-site

Data Warehouse Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Expertise in data integration and transformation * Strong knowledge of database management systems

Cymertek

Data Warehouse Engineer

Aurora, CO · On-site

Data Warehouse Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Expertise in data integration and transformation * Strong knowledge of database management systems

Lux Aeterna

Senior Integration Engineer

Denver, CO · On-site

$107.20K - $144.30K/yr

... Integration Engineer to own the assembly, integration, and test (AI&T) of Lux Aeterna's reusable ... Build the test automation, scripting, and data review infrastructure that makes high-cadence AI&T ...

PeopleTec

Systems Integration Engineer

Colorado Springs, CO · On-site

$130K - $180K/yr

As a Systems Integration Engineer, you will integrate Government Off-the-Shelf (GOTS) software into ... Advanced proficiency in log, flow data, and PCAP analysis. * Ability to develop processes and tools ...

Peopletec

Systems Integration Engineer

Colorado Springs, CO · On-site

$130K - $180K/yr

As a Systems Integration Engineer, you will integrate Government Off-the-Shelf (GOTS) software into ... Advanced proficiency in log, flow data, and PCAP analysis. * Ability to develop processes and tools ...

Peopletec

Systems Integration Engineer

Colorado Springs, CO · On-site

$130K - $180K/yr

As a Systems Integration Engineer, you will integrate Government Off-the-Shelf (GOTS) software into ... Advanced proficiency in log, flow data, and PCAP analysis. * Ability to develop processes and tools ...

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Data Integration Engineer information

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$54

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How much do data integration engineer jobs pay per hour?

As of Jun 1, 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 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 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 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
Senior Data Integration Engineer

Senior Data Integration Engineer

Santa Cruz Nutritionals

Golden, CO • On-site

$128.20K - $192.29K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

We believe being healthy should not require tradeoffs. SCN BestCo is a leading innovator, developer and manufacturer of Vitamin, Mineral & Supplement (VMS), Over-the-Counter (OTC) and prebiotics/probiotics in enjoyable forms such as gummies, lozenges and chews. With over 50 years of excellence, our team leads the way in changing how consumers make healthier choices. With unique food science expertise and proprietary processes, we've pioneered many firsts. Our passion to create new to the world products has guided and continues to be core to our mission of making health and wellness more enjoyable. Come join us and become a part of our winning formula!
The Senior Data Integration Engineer is responsible for extracting and integrating data from SCN BestCo's core systems, including SAP, JD Edwards (JDE), AMAPS, and other enterprise applications, into the Azure data platform. This role focuses on building and maintaining reliable, scalable data pipelines using tools such as Boomi and Azure Data Factory to ensure consistent and timely delivery of data into staging environments. The Senior Data Integration Engineer partners closely with Data Warehouse and Analytics teams to enable accurate, complete, and accessible data for reporting and analysis.
Estimated starting annual base salary is $128,196.45 - $192,294.61 per year less applicable withholdings and deductions, paid on a bi-weekly basis. Please note that the actual compensation offered may vary based on relevant factors as determined by the Company, which may include, but is not limited to, location, experience, qualifications, education, skillset, and market conditions. The target base compensation for this role is in the low to middle of the range, with the top of the range reserved for only exceptional circumstances. In addition, this role is eligible for a discretionary, variable annual incentive, paid based on Company performance factors. SCN BestCo offers a competitive benefits package to eligible full-time employees, which currently includes medical, dental, and vision plans, 401(k) with employer matching contributions, life insurance, paid time off, tuition reimbursement, and more, as well as paid sick leave in accordance with applicable law. Each benefit is subject to eligibility requirements as specified in plan documents, and the Company reserves the right to modify the benefits it offers from time to time.
Essential Duties and Responsibilities
  • Design, build, and maintain data integration pipelines from SAP, JDE, AMAPS, NetSuite, and other systems into Azure using Boomi and Azure Data Factory.
  • Extract data from source systems via APIs, flat files, database queries, and middleware tools.
  • Ensure reliable and efficient data ingestion into Azure Blob Storage and staging environments.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Partner with business and IT teams to understand data requirements and source system structures.
  • Maintain data integration documentation, including data flows, mappings, and dependencies.
  • Support data validation and reconciliation processes to ensure accuracy and completeness.
  • Collaborate with data warehouse engineering to ensure clean handoff of staged data for modeling.
  • Identify opportunities to improve data acquisition processes and reduce manual effort.
  • Travel as needed for system and stakeholder alignment (~10%).

Required Qualifications
Education & Experience:
  • Bachelor's degree in computer science, information systems, engineering, or related field.
  • 6 years' professional experience in data integration, ETL/ELT development, and/or data engineering.
  • Hands-on experience with Azure Data Factory and/or similar data integration tools.
  • Experience working with enterprise resource planning (ERP) systems such as SAP and JD Edwards (JDE).
  • Experience with middleware tools such as Boomi or similar platforms.

Knowledge, Skills, & Abilities (KSAs):
  • Strong understanding of data integration patterns and pipeline design.
  • Ability to work with structured and semi-structured data formats.
  • Strong SQL skills and experience querying enterprise systems.
  • Ability to troubleshoot and resolve data pipeline and integration issues.
  • Strong communication skills and ability to work cross-functionally.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Ability to apply critical thinking in problem solving. Must be able to demonstrate practical problem solving and trouble shooting skills. Ability to demonstrate practical problem solving and trouble shooting skills. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
  • Must have the ability to communicate effectively, both verbally and in writing, with internal staff and management. Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
  • Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

Preferred Qualifications
  • Experience with Azure cloud ecosystem (Data Factory, Data Lake, Synapse, Fabric).
  • Experience integrating multiple ERP systems in a complex environment.
  • Familiarity with data governance and data quality practices.

Equal Opportunity Employer
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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