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

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 ...

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.

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

They are seeking a Data Engineer to work on data engineering, integration, and migration projects, contributing to innovative solutions in a collaborative environment. Qualifications : Required : • ...

Integration Lead

Washington, DC · On-site

$150K - $170K/yr

This role ensures secure, reliable, and scalable data exchange across internal and external systems ... During the execution phase, the Integration Lead will guide integration engineers and developers ...

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Data Integration Developer information

See Odenton, MD salary details

$11

$58

$94

How much do data integration developer jobs pay per hour?

As of Jul 16, 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 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.

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 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 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 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 popular job titles related to Data Integration Developer jobs in Odenton, MD? For Data Integration Developer jobs in Odenton, MD, the most frequently searched job titles are:
Python Integration Developer

Python Integration Developer

Polar IT Services

Hanover, MD • On-site, Remote

$50 - $69/hr

Full-time

Re-posted 18 days ago


Job description

Hello Folks,
Please find the below requirement and let me know your interest?
Job Title: Python Integration Developer
Location: Hanover, MD - Hybrid (3 days/week onsite)
Experience Level: Mid-Senior
It's a W2 Role
Job Summary
We are seeking an experienced Integration Developer with strong Python development skills to build and support enterprise integrations across cloud platforms and internal systems. This role focuses on API-based integrations, application-to-application orchestration, and event-driven messaging (JMS) with a strong emphasis on reliability, automated reprocessing, and production support readiness across Dev/SIT/UAT/Prod environments.
Key Responsibilities
Integration Development & Orchestration
  • Design, develop, and support enterprise integrations using Python (services, orchestration components, automation utilities).
  • Build and consume RESTful APIs for system-to-system communication.
  • Develop data transformation, validation, enrichment, and orchestration logic using JSON/XML payloads.
  • Build application-to-application integration orchestrations, including resilient workflows and dependency coordination across systems.
Messaging / Event-Driven Integration
  • Implement and support event-driven and batch integrations using JMS (queues/topics), including message processing and recovery patterns.
  • Implement automated reprocessing patterns (retry, replay, dead-letter / suspended queue handling) to reduce manual intervention and improve stability.
Operational Readiness & Support
  • Troubleshoot, debug, and resolve integration issues across Dev, SIT, UAT, and Production environments.
  • Implement strong logging, monitoring, and alerting practices; ensure integrations are supportable in production with clear runbooks and operational checks.
  • Participate in release execution and deployment readiness activities (checklists, verification, rollback awareness), partnering with DevOps/ops teams as needed.
Collaboration & Quality
  • Work closely with architects, product owners, QA, and DevOps to deliver reliable solutions.
  • Participate in code reviews and follow best practices for security, performance, maintainability, and documentation.
Required Skills & Qualifications
  • Strong hands-on experience with building APIs with Python using FLASK or FASTAPI Frameworks.
  • Strong experience building/consuming REST APIs and Orchestrations working with AWS/Azure services like Amazon API Gateway, Lamda, Step Function, Amazon S3, Amazon SQS, MQ, Event Bridge, MSK (Managed Streaming for Apache Kafka), CloudWatch.
  • Experience building application-to-application integration orchestration solutions.
  • Solid understanding of JSON, XML, and transformation patterns.
  • Experience with middleware/integration concepts (message-driven design, orchestration, idempotency, retries, correlation IDs).
  • Experience implementing complex orchestrations with automatic re-processing (retry/replay, failure handling, re-queue patterns).
  • Familiarity with authentication and security patterns: OAuth2, API keys, token-based auth.
  • Experience with logging, monitoring, error handling, and operational troubleshooting.
  • Strong problem-solving, debugging, and root-cause analysis skills.
Preferred / Nice-to-Have
  • Experience with integration platforms such as MuleSoft, OIC, Boomi, or similar.
  • Experience integrating with ERP/HCM systems such as Oracle Fusion and PeopleSoft.
  • Experience with CI/CD pipelines and release promotion across environments.
  • Understanding of event-driven architectures and messaging systems beyond JMS (e.g., CDC, platform events).
  • Experience supporting production integrations, hypercare, and operational handoff practices (runbooks, monitoring, escalation readiness).
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Thanks
Jagdish |Manager - IT Staffing
T (443)-489-4433 | Jagdish@polarits.com
6095 Marshalee Dr, Suite 250, Elkridge, MD 21075
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