Data engineer (AI Ready data platforms) [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer (AI Ready Data Platforms) in the United States.

In this senior data engineering role, you will design and build next-generation data platforms that power AI, ML, and agent-based systems at enterprise scale. You will be responsible for creating robust, governed, and high-quality data foundations that enable advanced analytics and intelligent automation. This position focuses on developing AI-ready datasets that are curated, contextualized, and optimized for model training, inference, and autonomous workflows. You will work closely with AI/ML teams to ensure seamless data delivery for feature engineering and large language model applications. Operating in a cloud-native environment, you will help define the architecture for scalable, high-performance data ecosystems across batch and real-time processing. This role is ideal for engineers passionate about shaping the future of AI-driven data infrastructure.

Accountabilities

• Design and build scalable, cloud-native data platforms that support AI, ML, and agent-based applications.
• Develop end-to-end data pipelines for ingestion, transformation, and serving of curated, labeled, and contextualized datasets.
• Enable AI-ready data structures, including semantic models, feature-rich datasets, knowledge graphs, and vector databases.
• Implement robust data governance, lineage, metadata, and quality frameworks to ensure trust, compliance, and reliability.
• Collaborate closely with AI/ML teams to support feature engineering, model training, and inference workflows.
• Optimize data architecture for performance, scalability, cost efficiency, and operational reliability.
• Build and maintain both batch and real-time data processing pipelines across enterprise systems.
• Contribute to architectural decisions supporting LLM and agentic AI data requirements.
• Establish engineering best practices and mentor teams in modern data engineering approaches.

Requirements

• 10+ years of experience in data engineering, data platform development, or architecture roles.
• Strong expertise in cloud platforms such as AWS, Azure, or GCP and modern data ecosystems.
• Experience building and supporting AI/ML data pipelines, including feature stores and model lifecycle workflows.
• Hands-on experience with large language model (LLM) data pipelines and AI data preparation.
• Strong knowledge of data governance, metadata management, security, and compliance frameworks.
• Experience working with scalable distributed data systems in enterprise environments.
• Familiarity with semantic search, vector databases, and retrieval-augmented generation (RAG) concepts.
• Exposure to data mesh or domain-oriented architecture is highly desirable.
• Strong analytical, problem-solving, and system design skills.
• Excellent collaboration and communication skills in cross-functional environments.

Benefits

• Competitive compensation based on experience (DOE).
• Fully remote role aligned with PST time zone requirements.
• Opportunity to design cutting-edge AI-ready data platforms and architectures.
• Exposure to advanced AI/ML, LLM, and agentic system technologies.
• Work on enterprise-scale transformation and next-generation data initiatives.
• Collaborative and innovative engineering environment.
• Strong opportunities for technical leadership and mentorship.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.