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Data Integration Analyst Jobs in Virginia (NOW HIRING)

Akima

Data Integration Team Lead

Fort Belvoir, VA · On-site

... and analytical capabilities. • This position is also responsible for identifying gaps in ... management and data integration best practices and strategies and assists with documenting ...

BLN24

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 ... Strong analytical, troubleshooting, and communication skills. Preferred : • Experience with ...

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All JobsData Integration Analyst JobsData Integration Analyst Jobs in Virginia

Data Integration Analyst information

See Virginia salary details

$20.8K

$87.5K

$165.1K

How much do data integration analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data integration analyst in Virginia is $87,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What is a data integration analyst?

A Data Integration Analyst is a professional who specializes in combining data from different sources to create a unified view for analysis and reporting. They work with various databases, applications, and data formats to ensure information flows seamlessly across systems. Their role often includes designing and maintaining data pipelines, troubleshooting integration issues, and ensuring data quality and consistency. Data Integration Analysts play a key role in helping organizations make informed decisions by providing accurate and comprehensive data.

What does a data integration analyst do?

As a data integration analyst, you perform a variety of duties related to improving and normalizing data. Your job duties include scrubbing data, writing testing scripts, performing quality control on data and data storage, and enabling data access. You ensure all computer programs are able to integrate collected data. A career as a data integration analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in information technology (IT) or a related field. You should have some prior work experience in IT, strong analytical problem-solving skills, and excellent attention to detail.

What are the key skills and qualifications needed to thrive as a data integration analyst, and why are they important?

To thrive as a Data Integration Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), SQL, and data integration platforms is typically required, as well as knowledge of APIs and data warehousing solutions. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills that help in collaborating with diverse teams and stakeholders. These competencies are crucial for ensuring seamless data flow, accurate reporting, and strategic decision-making within organizations.

What are some common challenges faced by data integration analysts when working with disparate data sources?

Data Integration Analysts often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation across different systems. Collaborating with IT, business stakeholders, and external vendors to understand source data and resolve discrepancies is a frequent part of the job. Managing these complexities requires strong problem-solving skills, attention to detail, and effective communication to ensure accurate and efficient data integration.

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

AspectData Integration AnalystData Engineer
Required SkillsData analysis, SQL, ETL tools, data mappingProgramming (Python, Java), database architecture, data pipeline development
CertificationsSQL certifications, data management certificationsCloud certifications (AWS, GCP), programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, software development environments
Industry UsageFinance, healthcare, retailTechnology, finance, large-scale data platforms

While both roles involve working with data, Data Integration Analysts focus on consolidating and analyzing data from various sources using ETL tools and SQL. Data Engineers build and maintain the infrastructure and pipelines that enable data flow across systems. The roles often collaborate but differ in technical depth and scope.

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Data Integration Analyst jobs near you
Infographic showing various Data Integration Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $87,493 per year, or $42.1 per hour.

Senior Consultant, Data Integration Engineering

FI Consulting

Arlington, VA • On-site

Full-time

Posted 15 days ago

Job description

Who We Are
FI Consulting is a professional services firm that helps government agencies and commercial organizations leverage data, analytics, and technology to solve complex business challenges. Our teams work at the intersection of data engineering, financial management, and technology modernization to deliver innovative solutions that drive client success.
Position Overview
FI Consulting is seeking a Data/Integration Engineer to support a federal agency program modernization effort. This role will design, develop, and maintain data pipelines and system integrations that support financial operations, reporting, reconciliation, and process automation.
The ideal candidate has 6 or more years of experience integrating enterprise systems, building scalable data solutions, and supporting financial or operational data environments.
Responsibilities
  • Design, develop, and maintain automated data pipelines and system interfaces.
  • Integrate financial, operational, and business systems to support data movement and reconciliation processes.
  • Develop and support ETL processes, APIs, and database integrations.
  • Build solutions that improve data quality, availability, and accuracy.
  • Create and maintain source-to-target mappings, data models, and integration documentation.
  • Collaborate with business stakeholders, analysts, and developers to define requirements and implement solutions.
  • Troubleshoot integration issues and optimize system performance.
  • Support automated financial reconciliations and reporting processes.
  • Contribute to cloud-based and modern data architecture initiatives.
  • Ensure solutions adhere to security, governance, and data management best practices.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related technical field.
  • 6+ years of experience in data engineering, systems integration, ETL development, or database administration.
  • Experience designing and implementing enterprise data pipelines.
  • Demonstrated interest in emerging technologies, including artificial intelligence (AI), and the ability to evaluate and apply new technologies to solve business problems.
  • Strong SQL development experience.
  • Experience working with APIs, data integration platforms, and relational databases.
  • Experience with ETL tools and automated data processing solutions.
  • Ability to translate business requirements into technical solutions.
  • Strong analytical and problem-solving skills.
  • Ability to obtain and maintain a Public Trust clearance.
  • Must be available to work onsite in Washington, DC upon project start.

Preferred Qualifications
  • Experience integrating federal financial systems.
  • Familiarity with Delphi, PRISM, Oracle EPM/IMPACT, ServiceNow, or similar enterprise platforms.
  • Experience with cloud platforms such as Azure or AWS.
  • Experience with Python, C#, Java, or other modern programming languages.
  • Experience supporting financial management, accounting, budgeting, or reporting environments.
  • Knowledge of data governance, data quality, and master data management practices.
  • Experience supporting federal government clients.

What We're Looking For
  • Naturally curious and eager to learn new technologies and business concepts.
  • Strong collaborator who enjoys solving complex client challenges.
  • Ability to manage multiple priorities in a project-based environment.
  • Passion for continuous improvement and process optimization.
  • Interest in helping shape innovative solutions that deliver measurable client value.

FLSA Designation
  • This is an exempt position.
  • FI Consulting participates in E-Verify.
  • Equal Employment Opportunity/disability/protected veteran status.
  • FI Consulting is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email recruiting@ficonsulting.com or call: 571-255-6772. We will make a determination on your request for reasonable accommodation on a case-by-case basis.

AI plays only a supporting role in our recruitment process. All decisions are made by human members of our talent acquisition team.

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