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

BizFirst

Data / Integration Engineer

Washington, DC · On-site

$140K - $170K/yr

Data / Integration Engineer Summary: · Job Title: Data / Integration Engineer · Openings: 1 · Security Clearance: Public Trust or the ability to obtain one. · Work Type: Onsite · Job Type ...

Jobtailor

Senior Data Integration Engineer

Washington, DC · On-site

$120 - $180/hr

Requirements * 10+ years of experience supporting enterprise data integration, financial systems, ERP modernization, or cloud data engineering initiatives. * Bachelor's degree in Computer Science ...

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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 Engineer

UpSlope Advisors Inc.

Washington, DC

Full-time

Posted 11 days ago

Job description

Position Summary
The Data/Integration Engineer designs and supports the data architecture connecting DOT financial, contracting, service-management, planning, and external-provider data required for the WCF solution. The engineer integrates and standardizes data from Delphi, PRISM, ServiceNow, Oracle EPM/IMPACT, spreadsheets, CSV files, and other Government-approved sources into a common analytical structure.


The position supports DOT's transition from Microsoft to Google through a modular, nonproprietary, and transition-ready architecture. The Data/Integration Engineer preserves the authoritative roles of existing systems of record while configuring approved interfaces, extracts, staging, validation, reconciliation, and reporting data flows within the environment authorized by OCDIO.


Key Responsibilities

  • Design and maintain the common financial and operational data structure supporting the WCF solution.
  • Integrate data from Delphi, PRISM, ServiceNow, Oracle EPM/IMPACT, and approved external sources.
  • Develop documented source-to-target mappings, crosswalks, data dictionaries, and interface specifications.
  • Profile incoming datasets to understand field definitions, formats, identifiers, units, quality, and reporting grain.
  • Standardize external Government and commercial provider datasets into a consistent schema.
  • Develop controlled intake processes for spreadsheets, CSV files, scheduled reports, database extracts, and other approved formats.
  • Design validation rules for required fields, duplicates, invalid values, customer mappings, service mappings, and control totals.
  • Reconcile processed datasets to provider control totals and applicable authoritative financial totals.
  • Design and maintain exception-handling workflows for invalid, unmatched, incomplete, or changed-format records.
  • Support structured staging, transformation, and processing of larger or more complex datasets.
  • Develop and maintain metadata, lineage, schema-version, and source-system documentation.
  • Support automated and scheduled data movement using DOT-approved technologies and interfaces.
  • Work with OCDIO on interface configuration, identity and access, platform dependencies, security requirements, and migration activities.
  • Support the Microsoft-to-Google transition by identifying platform dependencies and reconfiguring data interfaces and processing components as required.
  • Support development of reporting datasets and analytical views for financial analysts, executives, and Operating Administration customers.
  • Perform integration testing, data reconciliation, defect analysis, and UAT support.
  • Prepare technical runbooks, interface documentation, data dictionaries, and knowledge-transfer materials.
  • Provide Level 2 data and integration troubleshooting while coordinating privileged platform issues with OCDIO.


Role Outcome
Provides DOT with a governed, traceable data foundation that connects authoritative financial information with service consumption and external provider data without creating proprietary or platform-dependent integration.

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