Kentro is hiring a Remote AI Data Integration Specialist to serve as a technical expert responsible for designing, implementing, and optimizing data pipelines that enable AI/ML capabilities within mission-critical federal IT operations. This is a hands-on technical role requiring deep expertise in data engineering, ML pipelines, and integration architecture.

What You'll Do

Conduct comprehensive assessments of existing data sources to determine fitness for AI/ML applications.
Perform gap analysis identifying data quality issues, completeness problems, and integration challenges.
Implement metadata tagging standards ensuring discoverability and traceability across data assets.
Apply data classification schemes aligned with federal security requirements and VA policies.
Support ML model development by preparing training datasets with appropriate feature engineering.
Build and maintain data infrastructure supporting ML experimentation, training, and deployment.
Partner with SREs, Data Scientists, and Analytics teams to understand data requirements and constraints.
Translate technical data challenges into understandable terms for government stakeholders.

What We're Looking For

A Master’s degree or higher in Computer Science, Data Engineering, Information Systems, Computer Engineering, or a related technical field. 10 years of relevant experience may be substituted for the degree requirement.
10+ years of professional experience in data engineering, data integration, or ML operations roles.
Hands-on experience designing and implementing data pipelines for analytics or AI/ML applications.
Demonstrated experience working with enterprise data integration challenges in complex technical environments.
Federal government experience, particularly within VA or Department of Defense.
US Citizen or Green card holder.
Willing and able to get a Public Trust Suitability clearance.

Nice to Have

Deep experience with ServiceNow data models, APIs, and integration patterns.
Prior work with Chief AI Office (CAIO) or federal data governance processes.
Experience with Azure AI services and Azure data platform tools (Synapse, Data Factory, Databricks).
Knowledge of federal data standards and compliance frameworks.
Experience with data quality tools and automated data profiling.
Background in reliability engineering, SRE practices, or IT operations data.
Certifications in data engineering, cloud platforms, or ML operations.
Experience working in distributed, remote teams.

Technical Stack

Azure, Data Factory, Synapse, Databricks, Python, SQL, ServiceNow, ETL/ELT, ML/AI, APIs

Team & Environment

You will work closely with the AI Solutions Architect, SREs, Data Scientists, Analytics teams, the Chief AI Office (CAIO), and data governance teams.

Benefits & Compensation

Paid time off
Healthcare benefits
Supplemental benefits
401k including an employer match
Discount perks and rewards
Education reimbursement for certifications, degrees, or professional development
Funds for team activities – virtual and in-person (happy hours, holiday events, fitness & wellness events, annual celebrations)

Work Mode

This is a remote position open to candidates located in the United States.

Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state or local law.