Data Integration Engineer

Miami Federal

. Design and implement data exchanges among applications, databases, APIs, and supporting cloud services .

Posted 10/7/2026full-timeRemote • Virginia • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data exchanges, REST APIs, and data pipelines while ensuring data quality and integrity. Proficient in cloud services, particularly Google Cloud Platform, and skilled in SQL, Python, and Java for data engineering tasks.

Highest-signal resume keywords

Data EngineeringREST API DesignSQL ProficiencyGoogle Cloud PlatformGit or GitHub Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationSchema DesignData MappingTransformationsValidationReconciliationError HandlingAutomated TestingData Quality ChecksBatch Processing

Soft Skills

Strong Communication SkillsCollaboration with Stakeholders

Tools & Technologies

Google Cloud PlatformGitGitHubAPIsRelational Databases

Industry Keywords

Data EngineeringSystems IntegrationCloud EnvironmentPublic Trust RequirementsUS Citizenship or Green Card

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformJavaPythonSQL

About the role

Key responsibilities & impact

Design and implement data exchanges among applications, databases, APIs, and supporting cloud services
Develop and maintain batch, event-driven, and API-based integration components
Translate interface requirements and source-to-target mappings into schemas, transformations, validation rules, and error-handling logic
Develop reusable services and pipeline components for secure data ingestion, transformation, distribution, and reconciliation
Implement logging, correlation identifiers, retry handling, failure queues, and controls to diagnose and recover failed transactions
Participate in architecture reviews and document interface designs, dependencies, data flows, and deployment requirements
Profile source data and identify quality, completeness, consistency, and ownership issues
Develop SQL and automated checks to validate schemas, record counts, key relationships, field values, and transformation outcomes
Support data mapping, normalization, deduplication, reference-data management, and reconciliation across systems
Create representative test data and automate integration and data-quality tests with quality assurance engineers
Support migration rehearsals, cutover planning, rollback procedures, and post-deployment validation
Build and support integration workloads using Google Cloud Platform or comparable cloud services
Create deployment pipelines and infrastructure configurations across development, test, staging, and production environments
Monitor pipeline health, throughput, latency, failures, and data-quality indicators and respond to operational issues
Manage source code, configuration, and peer review through Git or GitHub workflows
Document runbooks, support procedures, known limitations, recovery steps, and operational ownership
Participate in sprint planning, technical refinement, demonstrations, release planning, and production support
Collaborate with federal stakeholders, solution architects, application developers, business analysts, quality assurance engineers, and data owners

Requirements

What you’ll need

Minimum four years of professional experience in data engineering, systems integration, software engineering, or a related technical role
Experience designing and implementing REST APIs, data pipelines, system interfaces, or integration services
Strong SQL skills and experience with relational databases and structured data models
Proficiency with Python, Java, or another language commonly used for data and integration services
Experience with schema design, data mapping, transformations, validation, reconciliation, and error handling
Experience deploying and supporting workloads in a cloud environment
Experience with Git or GitHub, peer review, automated builds, testing, and deployment pipelines
Ability to troubleshoot issues across applications, APIs, databases, networks, credentials, and cloud services
Strong written and verbal communication skills and ability to work with technical and nontechnical stakeholders
Bachelor's degree in computer science, information systems, data engineering, or a related field, or equivalent practical experience
Successful candidates must pass a government background investigation and satisfy public trust requirements
US Citizenship or US Green Card is required

Benefits

Comp & perks

Medical, dental, and vision insurance
Employer-paid life insurance
Long- and short-term disability coverage
Generous 401(k) match
Paid time off and holidays