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Data Integration Developer Jobs in Odenton, MD (NOW HIRING)

Virtual Enterprise Architects

Data Architect

Washington, DC · On-site

$70.50 - $90.75/hr

Work closely with Data Integration developer to define XML schema definitions. * Provide database implementation and database administrative support for custom application development efforts.

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Data Integration Developer information

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How much do data integration developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data integration developer in Odenton, MD is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $48.94 and $65.43 per hour, depending on experience, location, and employer.

What is a data integration developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

What does a data integration developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

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

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.

What are some common challenges data integration developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

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

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

More about Data Integration Developer jobs
Data Integration Developer jobs near you

Data Integration Systems Engineer 686

Freedom Technology Solutions Group

Annapolis Junction, MD • On-site, Remote

$114K - $153K/yr

Full-time

Re-posted 27 days ago

Job description

Join Our Mission-Focused Team - This Position Is Eligible for a $25,000 Welcome Bonus for Qualified Candidates!

Join a team that powers the business enterprise behind the mission. Freedom supports the sustainment, modernization, and transformation of more than 100 enterprise business systems that enable tens of thousands of government personnel, industry partners, and prospective employees worldwide. These mission-enabling applications support workforce management, finance, acquisitions, security processing, training, recruitment, logistics, program management, executive decision-making, and other critical business functions across multiple secure environments.

We are seeking a Data Integration Systems Engineer to join one of our Prime Contracts supporting the Government's Corporate Management Services (CMS) organization. Telework up to one day per week! In this role, you will help design, modernize, secure, and sustain the enterprise applications and platforms that keep the organization operating every day. Working alongside experts in software engineering, cloud computing, DevSecOps, systems engineering, user experience, and enterprise platforms, you'll help modernize legacy systems, automate business processes, integrate commercial technologies, and deliver innovative solutions that improve efficiency, reduce costs, and enhance the user experience.

If you're looking for an opportunity where your work has broad enterprise impact, you'll find it here. Our diverse and growing team offers the chance to solve complex technical challenges, collaborate with talented professionals, and directly contribute to the technology and services that enable the Government's mission around the world.

This role will support enterprise data modernization initiatives focused on ingesting, transforming, validating and integrating operational data into enterprise systems supporting critical national security applications and systems. The ideal candidate will help design and implement automated workflows for ingesting structured spreadsheet data into enterprise databases, converting source data into JSON representations, validating data integrity and supporting integration into Pega-based workflows and reporting ecosystems. This position requires a technically versatile engineer capable of working across data pipelines, enterprise systems, reporting integrations and automation workflows while collaborating closely with developers, architects, system administrators and mission stakeholders. Successful candidates demonstrate strong ownership, initiative and sound technical judgment while working within established architectural, security and operational frameworks. The ideal candidate is capable of independently driving tasks forward, identifying gaps or risks, proposing solutions and collaborating across technical teams without requiring continuous direction or oversight.

Responsibilities Include:

  • Support ingestion of spreadsheet-based datasets into enterprise databases and applications
  • Develop and maintain data transformation workflows that normalize and convert structured data into formats required for system integration and data exchange.
  • Validate and troubleshoot data ingestion pipelines to ensure data integrity and operational accuracy
  • Support integration of enterprise data into Pega workflows and applications serving as systems of record
  • Collaborate with development and architecture teams to improve automation, scalability and maintainability of ingestion workflows
  • Assist with development of reporting and downstream data consumption strategies
  • Support troubleshooting, analysis and resolution of data-related operational issues
  • Work with stakeholders to understand data requirements, mappings and validation criteria
  • Participate in modernization and automation initiatives across enterprise services
  • Document data flows, interfaces, transformation logic and operational procedures

Required Qualifications

  • TS/SCI with Polygraph
  • Bachelor's degree in a technical discipline and fourteen (14) years of related experience as a Systems Engineer, Software Engineer, Data Engineer or equivalent technical role. Nineteen (19) years of experience may be substituted in lieu of a degree
  • Experience working with structured data formats including JSON, CSV and Excel-based datasets
  • Experience supporting data ingestion, transformation or ETL-style workflows
  • Experience writing automation scripts or utilities using Python or similar scripting languages
  • Experience troubleshooting data quality and validation issues
  • Familiarity with relational databases and SQL
  • Ability to work across technical teams and communicate effectively with both technical and non-technical stakeholders
  • Must be able to work during core hours of M-F 10am-2pm. Exceptions will be considered on a case-by-case basis

Desired Qualifications

  • Experience supporting Pega applications or enterprise workflow platforms
  • Experience building or supporting ETL/data ingestion pipelines
  • Experience with API integrations and data exchange services
  • Experience with data validation frameworks or schema validation
  • Familiarity with enterprise reporting ecosystems and downstream analytics integrations
  • Experience with automation technologies including RPA or scripting frameworks
  • Understanding of enterprise data governance and system-of-record concepts
  • Ability to clearly communicate ambiguous or highly complex concepts to all audiences
  • Ability to understand the big picture and align day-to-day technical activities to enterprise mission outcomes

The estimated salary range for this position is between $200,000-$240,000 (annualized USD). This range reflects the typical pay for the role and is one part of the company's comprehensive compensation package. Actual salaries are influenced by several factors, such as location, the individual's education, skills, experience, and competencies, as well as contract affordability and organizational needs.

Ready to make an impact? Apply today and join our mission-focused team. This position is eligible for a $25,000 Welcome Bonus for qualified candidates. Bonus eligibility and payment terms apply.

Apply