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Data Integration Engineer Jobs in Washington (NOW HIRING)

FI Consulting

Data/Integration Engineer

Arlington, VA · On-site

Position Overview FI Consulting is seeking a Data/Integration Engineer to support a federal agency program modernization effort. This role will design, develop, and maintain data pipelines and system ...

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BizFirst

Data / Integration Engineer

Washington, DC

$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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All JobsData Integration Engineer JobsData Integration Engineer Jobs in Washington

Data Integration Engineer information

See Washington salary details

$11

$58

$95

How much do data integration engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data integration engineer in Washington is $58.54, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $65.87 per hour, depending on experience, location, and employer.

What is a data integration engineer?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

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

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What are some common challenges data integration engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

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

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What does a data integration engineer do?

A data integration engineer designs, develops, and maintains systems that combine data from multiple sources to ensure accurate and efficient data flow within an organization. They often use tools like ETL (Extract, Transform, Load) processes, SQL, and data pipelines, and require knowledge of databases and scripting languages. Their work supports data analysis, reporting, and decision-making processes.

What are popular job titles related to Data Integration Engineer jobs in Washington?

For Data Integration Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Integration Engineer jobs in Washington look for?

The top searched job categories for Data Integration Engineer jobs in Washington are:

Data Integration Engineer jobs near you
Infographic showing various Data Integration Engineer job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 10% Part Time, and 16% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $121,755 per year, or $58.5 per hour.

Data/Integration Engineer

UpSlope Advisors Inc.

Washington, DC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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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