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Data Integration Engineer Jobs in Washington (NOW HIRING)

Junior Data Integration Developer

Mclean, VA · On-site

$67K - $87K/yr

Junior Data Integration Developer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal ...

Lead Integration Engineer

Washington, DC · On-site

$116K - $152K/yr

The Lead Integration Engineer partners with business, technology, data, security, compliance, and vendor teams to translate firm strategy into system designs, integration specifications ...

Junior Data Integration Developer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal ...

Junior Data Integration Developer

Mclean, VA · On-site

$67K - $88K/yr

They are seeking a Junior Data Integration Developer to support the development and integration of cloud-native data services and backend integration solutions for mission-critical forecasting and ...

Showing results 41-60

Data Integration Engineer information

See Washington salary details

$11

$58

$95

How much do data integration engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data integration engineer in Washington is $58.54, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $65.87 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 Washington?

For Data Integration Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Integration Engineer jobs in Washington look for?

The top searched job categories for Data Integration Engineer jobs in Washington are:

Infographic showing various Data Integration Engineer job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 10% Part Time, and 16% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $121,755 per year, or $58.5 per hour.

Integration Engineer (Bhoomi)

Sterling, VA • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees

$103K - $138K/yr

Contractor

Re-posted 23 days ago


Job description

Job Title: Integration Engineer (Bhoomi)
Location: Sterling, VA (Hybrid 3 days a week)
Duration: 6 months 
Position type: W2 contract

Job Description:
We are seeking an experienced Integration Engineer to join our dynamic team. The ideal candidate will have expertise in Boomi, Node.js or TypeScript, and AWS services to design, develop, and maintain cloud-based integration solutions and applications.

Key Responsibilities:

  • Design, develop, and maintain integration workflows using Boomi’s iPaaS platform.
  • Build and optimize server-side applications using Node.js or TypeScript.
  • Develop and deploy scalable cloud infrastructure and services on AWS, including EC2, Lambda, S3, DynamoDB, and other relevant services.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
  • Implement best practices for security, performance, and reliability in cloud environments.
  • Monitor, troubleshoot, and resolve issues related to integrations and cloud applications.
  • Maintain documentation and promote best practices for code and process standards.

Qualifications:

  • Proven experience with Boomi integration platform.
  • Strong proficiency in Node.js and/or TypeScript.
  • Hands-on experience with AWS services (EC2, Lambda, S3, RDS/DynamoDB, CloudFormation, etc.).
  • Knowledge of REST/SOAP APIs, JSON, XML, and data integration patterns.
  • Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes preferred).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.

Preferred Skills:

  • Experience with other integration tools and middleware.
  • Knowledge of serverless architectures.
  • Familiarity with automation and scripting.
  • Cloud security best practices.

What We Offer:

  • Competitive salary and benefits.
  • Opportunities for professional growth.
  • Dynamic and collaborative work environment.
  • Exposure to cutting-edge cloud and integration technologies.