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Junior Data Integration Analyst Jobs (NOW HIRING)

Team 653 INT

Junior Data Analyst

Manhattan, NY

We are seeking a motivated Junior Data Analyst to support our team with collecting, organizing, and analyzing business data. The ideal candidate will help prepare reports, identify trends, maintain ...

PrimCorp, LLC

Junior Data Analyst

Reston, VA · On-site

Job Title Junior Data Analyst Opportunity DIA Job Type Full-time Location Reston, VA US (Primary) Category Professional Career Level Junior Level Education Bachelor's Degree Travel Security Clearance ...

Allied Solutions, LLC

$70 - $95/hr

The Data Integration Analyst II is responsible for leading complex data file transformation efforts, advanced configuration design, and systemic issue resolution for both onboarding and production ...

Posted today

WEX, Inc.

Integration Analyst - BPO

The Integration Analyst BPO simultaneously manages multiple clients and/or partner data ... Manage the data integration build and testing process between all internal and external parties

Pinnacle Home Care

Junior Data Analyst

Oldsmar, FL · On-site

Junior Data Analyst Are you looking to make a difference in patients' lives with a company that values your expertise? Join us in our mission of delivering compassionate healthcare where it matters ...

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How much do junior data integration analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior data integration analyst in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What does a junior data integration analyst do?

A Junior Data Integration Analyst assists in connecting and consolidating data from different sources so organizations can analyze and use it effectively. They help build and maintain data pipelines, monitor data quality, and troubleshoot integration issues. This role often involves working with databases, ETL (Extract, Transform, Load) tools, and collaborating with IT and business teams to ensure data flows smoothly between systems. Junior analysts also document processes and may support more senior analysts on complex integration projects.

What are the key skills and qualifications needed to thrive as a junior data integration analyst?

To thrive as a Junior Data Integration Analyst, you need a strong understanding of data management principles, basic SQL proficiency, and typically a bachelor’s degree in computer science, information systems, or a related field. Familiarity with ETL tools (such as Talend or Informatica), data visualization platforms, and database systems is often required. Attention to detail, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and resolve data issues efficiently. These skills ensure accurate data integration, support business intelligence efforts, and drive successful data-driven decision-making within organizations.

What are some typical challenges a junior data integration analyst might face when working on projects with multiple data sources?

As a Junior Data Integration Analyst, one common challenge is managing inconsistencies across diverse data sources, such as differences in data formats, structures, or quality. You may also encounter issues related to data mapping and transformation, which require attention to detail and strong problem-solving skills. Additionally, collaborating with cross-functional teams—like database administrators, developers, and business stakeholders—can present communication challenges, especially when aligning on project requirements and timelines. Overcoming these challenges helps build a strong foundation for career growth in data integration and analytics.
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Junior Data Integration Analyst jobs near you
Infographic showing various Junior Data Integration Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.

Hybrid Data Integration Engineer (Junior or Senior) - Secret Clearance

LaunchCode

Saint Louis, MO • On-site

$95K - $135K/yr

Full-time

Posted 3 days ago

New

Job description

Description
Position Type: Direct Hire / Full-Time
Location: Arlington, VA / Washington, DC Metro Area - Hybrid Onsite work locations include Rosslyn, the Mark Center, and the Pentagon.
Clearance: Secret Clearance Preferred
Hiring Timeline: Immediate
Compensation:
  • Junior Data Integration Engineer: Approximately 2+ years of relevant experience | $60,000-$100,000/year
  • Senior Data Integration Engineer: 10+ years of relevant experience | $95,000-$135,000/year

Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.
Position Overview:
Our partner is seeking Data Integration Engineers at the Junior and Senior levels to support enterprise data integration, financial systems, cloud data platforms, and modernization initiatives for Defense sector clients. Engineers will help design, develop, validate, test, and support data integrations across financial systems, ERP platforms, staging environments, analytics platforms, and reporting solutions. The team works closely with technical developers, source system owners, data engineering teams, finance stakeholders, and program management to ensure data moves accurately, securely, and reliably from source systems through transformation pipelines to downstream reporting platforms.
This role provides exposure to technologies including OneStream, ERP platforms, GTAS reporting, War Data Platform, Power BI, Databricks, Palantir, Celonis Intelligence, SQL, Python, cloud-based integration services, and AI-enabled data solutions.
Position Responsibilities:
  • Design, develop, configure, test, and support enterprise data integrations.
  • Support integrations involving OneStream, ERP platforms, financial systems, analytics platforms, and reporting solutions.
  • Develop and support APIs, ETL/ELT pipelines, batch integrations, file transfers, and cloud-based data movement processes.
  • Support source-to-target mapping, transformation logic, interface controls, and validation requirements.
  • Validate data movement across source systems, staging environments, transformation layers, and downstream reporting platforms.
  • Perform data validation and reconciliation to identify discrepancies and ensure data accuracy, completeness, and traceability.
  • Troubleshoot interface failures, mapping issues, schema changes, rejected records, transformation errors, and other data processing exceptions.
  • Support System Integration Testing (SIT), User Acceptance Testing (UAT), production deployments, cutovers, and post-production stabilization.
  • Collaborate with software developers, data engineers, finance teams, source system owners, and business stakeholders.
  • Create and maintain technical documentation, interface specifications, mapping documents, reconciliation procedures, and operational runbooks.
  • Support enterprise modernization initiatives, system implementations, data conversions, and production cutovers.
  • Monitor production interfaces and identify opportunities to improve automation, performance, scalability, and reliability.
  • Use SQL, Python, Power BI, Databricks, Palantir, and other technologies to analyze data and support data quality initiatives.
  • Leverage AI-assisted tools and emerging technologies to improve data validation, reconciliation, anomaly detection, and operational support.

Junior Level - Required Skills/Experience:
  • Approximately 2+ years of experience in data engineering, data integration, software engineering, ETL development, API development, or a related technical field.
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Computer Engineering, Information Technology, or another STEM discipline.
  • U.S. citizenship and ability to obtain and maintain a Secret clearance.
  • Experience with SQL and relational databases.
  • Familiarity with ETL/ELT pipelines, APIs, batch processing, file-based integrations, or data movement processes.
  • Exposure to data mapping, transformation logic, data validation, or reconciliation.
  • Experience troubleshooting technical issues and analyzing data discrepancies.
  • Familiarity with cloud-based data platforms such as Azure, AWS, or Databricks.
  • Strong analytical and problem-solving skills.
  • Ability to communicate effectively and collaborate with technical and business teams.

Senior Level - Required Skills/Experience:
  • 10+ years of experience supporting enterprise data integration, financial systems, ERP modernization, cloud data engineering, or related initiatives.
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Computer Engineering, Information Technology, or another STEM discipline.
  • U.S. citizenship and active Secret clearance preferred. The company is willing to sponsor the right candidate.
  • Strong experience developing or supporting APIs, ETL/ELT pipelines, batch processing, file-based integrations, or middleware platforms.
  • Advanced SQL skills with experience querying, validating, and reconciling large datasets.
  • Strong experience with source-to-target validation, data reconciliation, and enterprise data quality.
  • Experience supporting SIT, UAT, production deployments, cutovers, and post-production support.
  • Strong understanding of enterprise integration patterns, data mapping, transformation logic, and interface controls.
  • Experience with cloud-based data platforms such as Azure, AWS, or Databricks.
  • Strong troubleshooting, root-cause analysis, and technical problem-solving skills.
  • Excellent communication skills and the ability to work directly with technical teams, business stakeholders, and leadership.
  • Ability to manage multiple priorities in a fast-paced consulting environment.

Preferred Qualifications - Junior & Senior:
  • Experience with OneStream or other Enterprise Performance Management (EPM) platforms.
  • Experience with ERP systems such as SAP, Oracle, Workday, Momentum, or CGI Momentum.
  • Knowledge of federal financial management, GTAS, USSGL, Treasury reporting, financial statements, audit readiness, or internal controls.
  • Experience supporting Advana, War Data Platform, or other federal enterprise data platforms.
  • Experience with REST APIs, Azure Data Factory, Azure Integration Services, Informatica, MuleSoft, Boomi, Kafka, or similar technologies.
  • Experience with Databricks, Spark, Delta Lake, Microsoft Fabric, Synapse Analytics, or similar cloud data architectures.
  • Knowledge of data governance, metadata management, master data management (MDM), and enterprise data quality.
  • Experience applying AI, intelligent automation, or agentic AI to data validation, reconciliation, anomaly detection, or interface monitoring.
  • Relevant professional certifications such as Microsoft Azure Data Engineer Associate, Databricks Data Engineer Associate, AWS Certified Data Engineer, Certified Scrum Master (CSM), or Certified Data Management Professional (CDMP).
  • Candidates with backgrounds in Software Engineering, Cloud Engineering, Data Engineering, API Development, Middleware Engineering, ETL Engineering, or ERP Integration are encouraged to apply.

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