Senior Data Engineer I

MetroStar

Sr. Data Engineer I supporting USCIS IT system delivery through data analytics and AI/ML tasks.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $138,000 - $156,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Machine Learning, with a strong focus on operationalizing data pipelines and maintaining AI/ML models in production. Proficient in data architecture design and analytics, with the ability to communicate complex results to diverse audiences.

Highest-signal resume keywords

Data EngineeringMachine LearningETLData ArchitectureDHS Suitability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonData LabelingData PreparationData AnalyticsPerformance AssessmentAutomationOptimizationAI/ML Model MaintenanceData Pipeline OperationalizationAlgorithm Implementation

Soft Skills

Presentation SkillsCommunication

Industry Keywords

Security ArchitectureIdentity ManagementFederal AgencyTechnical SupportAdvisement Services

Tech Stack

Tools & technologies

ETLPython

About the role

Key responsibilities & impact

Work with AI team members to operationalize data pipelines and ML tasks.
Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities.
Present results to a diverse audience in presentation or report form.
Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.

Requirements

What you’ll need

The ability to obtain and maintain a DHS Suitability
5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 4 years of actual experience).
Experience with ETL, Data Labeling and Data Prep.
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.
Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize
Bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience and the ability to obtain and maintain DHS Suitability.

Benefits

Comp & perks

Health, dental, and vision insurance
401(k) retirement plan with company match
Paid time off (PTO) and holidays
Parental Leave and dependent care
Flexible work arrangements
Professional development opportunities
Employee assistance and wellness programs