Data Engineer (AI)

TL;DR

Data Engineer (AI): Design and implement scalable data pipelines to support AI and automation use cases with an accent on data quality, governance, and integration across enterprise systems. Focus on production-grade delivery and ensuring data is accessible, reliable, secure, and fit for operational and AI-enabled use cases.

Location: Remote

Salary: Negotiable (Based on experience and skills)

Company

hirify.global is seeking a senior Data Engineer to design, build, and operate scalable data pipelines and curated data assets that enable AI-driven workflows and business-critical automation.

What you will do

• Design and implement scalable data pipelines to support AI and automation use cases.
• Build and maintain robust ingestion processes across structured, semi-structured, and unstructured sources.
• Implement data transformation, cleansing, validation, and quality controls aligned with enterprise standards.
• Collaborate with AI Engineers to define indexing schemas and metadata strategies that optimize retrieval performance.
• Troubleshoot pipeline failures and performance bottlenecks and ensure stable production operations.
• Ensure alignment with internal governance requirements (access control, data privacy constraints, auditability).

Requirements

• Bachelor’s or Master’s in Computer Science, Software Engineering, Information Systems, Data Engineering, or related field.
• Experience with data pipelines, SQL, and cloud platforms is key.
• Strong experience building and maintaining data pipelines in production environments.
• Expert-level SQL skills and solid understanding of enterprise data modeling concepts.
• Advanced Python experience for pipeline development and automation.
• Experience processing semi-structured and unstructured data, including preparing data for consumption by LLM-enabled applications and retrieval systems.

Nice to have

• Understanding of retrieval and indexing workflows supporting AI applications.
• Experience supporting vectorization pipelines and embeddings-based retrieval workflows.
• Experience with distributed data processing and performance optimization.
• Familiarity with orchestration and workflow tooling.
• Experience with cloud-native implementations and enterprise governance constraints.

Culture & Benefits

• General Leave: 10 days
• Festival Bonus (2), basic 100%
• Weekly 2 holidays (Sat & Sun)
• Annual Salary Review
• PTO Benefits
• Resignation &/or Termination Benefits: 1 month

Hiring process

• Telephone Round.
• Interview with the Client.
• Final Interview with the People & Culture.
• Job Offer.