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Data Integration Engineer Jobs in Colorado (NOW HIRING)

Booz Allen Hamilton

Integration Engineer

Colorado Springs, CO · On-site

$102K - $138K/yr

As an integration engineer, you know the importance of ensuring applications, platforms, data platforms, and DevSecOps Processes work together. You're eager to apply your Space EW knowledge to ...

Cymertek

Software Integration Engineer

Aurora, CO · On-site

$106K - $142K/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 ...

Booz Allen Hamilton

Integration Engineer

Colorado Springs, CO · On-site

$102K - $138K/yr

As an integration engineer, you know the importance of ensuring applications, platforms, data platforms, and DevSecOps Processes work together. You're eager to apply your Space EW knowledge to ...

Cymertek Corporation

Data Warehouse Engineer

Aurora, CO · On-site

SIMILAR CAREER TITLES Data Engineer, ETL Developer, Data Architect, Business Intelligence Engineer ... Expertise in data integration and transformation * Strong knowledge of database management systems

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

CACI

System Integration Engineer

Denver, CO · On-site

$171K/yr

... data integration Demonstrated ability to solve complex technical and operational problems ... systems engineering principles and the system development lifecycle Experience designing or ...

Cymertek Corporation

Software Integration Engineer

Aurora, CO · On-site

$105K - $142K/yr

... data exchange protocols (e.g., REST, SOAP) • Ability to manage software integration projects ... in programming languages (e.g., Java, Python) • Strong debugging and problem-solving abilities ...

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Data Integration Engineer information

See Colorado salary details

$10

$54

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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 Integration Engineer

Denver, CO • On-site

Northwood Investors LLC
Finance and Insurance • 51 - 200 employees
Learn more about Northwood Investors LLCexternal

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Key responsibilities

  • Owns new and existing ETL/ELT workflows, accelerating delivery of datasets and process automation.

  • Designs and manages reusable cloud-native integration patterns across AWS, Snowflake, and related services.

  • Develops data models and custom SQL views for ingestion, integration, and reporting purposes.

Job description

This position is based in our Denver, Colorado office and requires regular in-office attendance.
Position Overview
The Data & AI Integration Engineer is based in Denver and reports to the VP of Data & Analytics. This role sits at the center of Northwood's data platform build-out: a Snowflake and AWS estate, an enterprise-wide Claude deployment, and a growing set of AI-enabled capabilities - Snowflake Cortex, retrieval over the firm's document corpus, and agentic workflows that put analytics directly in the hands of investment and asset management teams. Scope spans data modeling, ETL/ELT development, API and application integration, metadata-driven orchestration, data observability, and Power BI delivery.
This is a high-ownership seat on a five-person Data & Analytics team, not a ticket queue. The engineer owns pipelines and integrations end to end, working within architectural patterns set alongside the VP of Data & Analytics - and takes on progressively more architectural and standards-setting responsibility as platform and domain depth build. Modern data engineering on a small team, with direct visibility into how the firm invests and operates.
Northwood's data is real estate data. The strongest candidates pair data engineering and cloud architecture depth with genuine curiosity about the domain - how an NOI walk is built, how a CAM reconciliation ties out, why chart-of-account integrity determines whether a portfolio roll-up can be trusted. Prior real estate, accounting, or financial-data exposure is valuable; curiosity and rigor matter more.
Specific responsibilities include:
Platform & Integration Engineering
  • Owns new and existing ETL/ELT workflows, accelerating delivery of new datasets, process automation, and complex production loads.
  • Designs and manages reusable cloud-native integration patterns across AWS, Snowflake, S3, Lambda, ECS/Fargate, API Gateway, Snowpark, and related services.
  • Builds standardized, metadata-driven orchestration - table-level and source-system execution, runtime result capture, dependency tracking, Snowflake metadata tables, and operational health monitoring.
  • Executes migration of legacy ETL workloads onto shared infrastructure, reusable repository templates, automated deployment patterns, and modern S3-to-Snowflake loading processes.
  • Improves platform reliability and observability through standardized logging, metadata capture, health checks, performance tracking, alerting, and issue remediation workflows.
  • Builds automation and AI-enabled tooling to accelerate ingestion, migration, monitoring, documentation, and internal platform support.

Data Delivery & Reporting
  • Partners with multidisciplinary teams to gather functional business requirements, scope analytical projects, manage expectations and deadlines, and translate needs into technical specifications.
  • Develops data models and custom SQL views for ingestion, integration, and presentation-layer consumption, structured for private equity reporting and analytics.
  • Supports the development, deployment, performance, lineage, and integration of BI and data visualization tools, including Power BI semantic models and reporting workflows.
  • Manages change to existing data warehouse reports and deliverables based on business feedback.
  • Collaborates with internal staff and third-party vendors on application data integrations.

Standards, Governance & Collaboration
  • Maintains and extends documentation standards for code, procedures, mapping documents, architectural patterns, operational runbooks, and reusable implementation templates.
  • Builds depth across AWS, Power BI, Python, SDK usage, repository structure, CI/CD practices, and data loading strategies, and shares working patterns with teammates.
  • Partners with business stakeholders to apply and help shape data governance policies.
  • Weighs near-term delivery against long-term scalability, reliability, and maintainability, escalating significant architectural trade-offs to the VP of Data & Analytics.

Education and Required Experience:
  • Bachelor's degree in Computer Science, Information Systems, or a related field. Equivalent combinations of education and relevant experience will be considered.
  • 2-4 years writing complex SQL, including query tuning and performance optimization.
  • 2-4 years with cloud data services on AWS S3, Lambda, ECS/Fargate, API Gateway, and related integration patterns.
  • 2-4 years developing and supporting Python, JavaScript, APIs, SDKs, and cloud-based data services.
  • 2-4 years building and orchestrating ETL/ELT pipelines using modern tooling such as Snowpark or AWS-native orchestration or equivalent traditional ETL platforms (SSIS, Informatica).
  • Working knowledge of relational data modeling and data warehouse design concepts.
  • Working familiarity with version control, CI/CD practices, repository conventions, and automated testing.

Preferred Qualifications:
  • Experience building solutions in the financial services domain, with an understanding of financial instruments, transactions, and positions.
  • Experience supporting or using property management and ERP software such as MRI and Yardi.
  • Experience designing metadata-driven orchestration, dependency management, or infrastructure-as-code patterns for production pipelines.
  • Experience with AI-enabled data tools, document intelligence, enterprise search, agentic workflows, or LLM-powered automation.
  • Exposure to Snowflake Cortex, Snowpark Container Services, data application development, observability platforms, or enterprise AI governance workflows.
  • Experience with business intelligence and data visualization tools such as Power BI or Tableau.
  • Advanced experience with Office 365, particularly Excel (Power Pivot, Power Query) and Power Automate.

Competencies:
  • Strong interpersonal, presentation, and collaboration skills, with the ability to work effectively within and across technical and business teams.
  • Clear written and verbal communication, translating technical concepts into business terms.
  • Highly analytical problem-solver who balances creativity with organization and takes ownership of new and ongoing work.
  • Intellectual curiosity and an eagerness for learning, experimentation, automation, and continuous expansion of technical and business knowledge.
  • Contributes to a culture of excellence, data-driven discussion, healthy skepticism, and knowledge sharing, while helping keep the environment upbeat and fun.
  • Seeks out process improvement and adapts readily to evolving business needs.

Compensation & Benefits
Compensation
  • Base Salary Range: $100,000 - $115,000 annually, depending on experience.
  • Annual Bonus: discretionary bonus opportunity

Benefits
  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) with company contributions
  • Flexible Spending Accounts (FSA)
  • 401(k) plan with company match
  • Company-paid life insurance and disability coverage
  • Voluntary life, accident, critical illness, and hospital insurance
  • Employee Assistance Program (EAP)
  • Commuter benefits
  • Employee referral bonus program
  • Paid parental leave, including adoption and foster care leave

Northwood will accept applications through September 30, 2026. Applications will be reviewed on an ongoing basis, and the position may be filled prior to the deadline if an ideal candidate is identified

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