Data Engineer (AI)

Location: Remote; open to any time zone with meaningful overlap with US hours

Company

hirify.global develops analytics and model-training capabilities based on large-scale agentic data.

What you will do

• Build, operate, and continuously improve production data pipelines for analytics and model training.
• Transform long-horizon, multi-step, tool-conditioned agent data into structured, documented datasets.
• Deliver reliable internal analytics and communicate data location, lineage, quality, limitations, and fitness for use.
• Select ETL and ELT approaches based on destination capabilities, reproducibility, latency, and cost.
• Own production operations, including failures, re-runs, backfills, and debugging across jobs, storage, permissions, and downstream consumers.
• Design schemas, storage formats, and data models, using streaming and partitioning for memory-efficient scale.

Requirements

• 4+ years of experience building and operating production data pipelines.
• Strong SQL, data modeling, and practical schema design and evolution skills.
• Deep understanding of storage formats, database types, and data-stack layers including ingestion, storage, transformation, orchestration, cataloging, and serving.
• Strong Python and solid shell skills for batch and storage operations.
• Hands-on cloud experience with object storage, batch compute, and identity and access management.
• Production experience with at least one workflow orchestration system such as Airflow, Dagster, Prefect, or an equivalent.
• Strong data-quality judgment, including evaluating whether data is fit for use rather than only whether a pipeline ran.
• Extensive use of AI-assisted development tools with disciplined review of their output.

Nice to have

• Experience with agentic or LLM-generated data, including structured, multi-step, tool-conditioned interactions.
• Experience building data pipelines for model training.
• Experience processing millions of interactions or more.
• Background in data infrastructure, observability, or AI data companies.

Culture & Benefits

• Full-time remote work with flexibility across time zones.
• Meaningful overlap with US hours is required.
• The role is designed as a broad mission rather than a narrow set of duties.

Hiring process

• Apply by email with the role in the subject line, a resume or CV, a cover letter, and a portfolio showcasing your work.