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

CSSI, Inc.

Data Integration Specialist

Washington, DC · On-site

Providing technical direction to programmers to ensure program deadlines are met * Collaboratively ... of data integration projects * Senior I - Bachelor's degree in Information systems, business ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

... Data Integration Developer, Bioinformatics Engineer, or similar data-intensive role, preferably supporting analytics, biomedical research, healthcare, scientific computing, or research data teams.

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

... Data Integration Developer, Bioinformatics Engineer, or similar data-intensive role, preferably supporting analytics, biomedical research, healthcare, scientific computing, or research data teams.

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

... Data Integration Developer, Bioinformatics Engineer, or similar data-intensive role, preferably supporting analytics, biomedical research, healthcare, scientific computing, or research data teams.

Polar IT Services

Python Integration Developer

Hanover, MD · On-site +1

$50 - $69/hr

Job Title: Python Integration Developer Location: Hanover, MD - Hybrid (3 days/week onsite ... Develop data transformation, validation, enrichment, and orchestration logic using JSON/XML ...

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All JobsData Integration Developer JobsData Integration Developer Jobs in Odenton, MD

Data Integration Developer information

See Odenton, MD salary details

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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

Senior Data Integration Engineer (TS/SCI) for Modernization

Si Tec Consulting

Laurel, MD • On-site

$90 - $120/hr

Other

Posted 3 days ago

New

Job description

Si Tec Consulting is looking for a Senior Data Integration Engineer located in Annapolis Junction, MD. This position focuses on enterprise data modernization and requires strong database engineering and data automation skills. Candidates must have an active TS/SCI with Polygraph and experience working with relational databases.

The ideal candidate will be responsible for data ingestion, transformation, and validation, collaborating with various teams to define requirements and ensure data integrity. This full-time role offers opportunities for independent work and technical ownership.

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