Multimodal Data Engineer - Build Scalable AI Datasets

ABAKA; Mountain View, Northern (CA, KY); Hybrid; USD 120,000 - 225,000; Full time

Benefits offered by this job

Equity

Health, dental & vision coverage

PTO

Job summary

Abaka AI is hiring a Multimodal Data Engineer in the United States to build the systems and workflows that turn complex data requirements into high-quality datasets for some of the world’s most advanced AI teams.

You’ll own projects from initial requirements through final delivery: assessing feasibility, defining quality standards, building scalable pipelines, coordinating work across engineers and external vendors, and ensuring datasets meet spec.

Qualifications

• 3+ years of experience in data engineering or building large-scale data systems with hands-on ownership of production data workflows.
• Experience delivering datasets or data systems end to end with scope, timeline, quality, cost, and acceptance criteria for external clients or internal model teams.
• Hands-on experience with at least two data modalities (text, images, audio, video, or 3D) and with distributed processing tools (Spark, Ray, Flink).
• Experience designing and operating data pipelines using orchestration tools (Airflow, Dagster, Argo) and cloud object storage.
• Knowledge of data privacy, security practices, and data quality/acceptance processes.

Responsibilities

• Assess incoming data requirements for feasibility, technical challenges, risks, cost, and delivery timeline.
• Own technical delivery for assigned projects from scoping through final handoff with clear tasks and owners.
• Build and improve scalable pipelines for multimodal data sourcing, processing, annotation, quality assurance, storage, and delivery.
• Establish quality gates at ingestion and before delivery to ensure adherence to specifications.
• Improve visibility into project status with trackers, dataset indexes, and cost monitoring.
• Operate infrastructure behind data workflows, including storage, batch compute, and orchestration environments.
• Standardize recurring workflows, automate steps, and document reusable practices.

Skills

Data engineering

End-to-end data systems delivery

Ambiguity to actionable plans

Ownership and delivery

Education

Bachelor’s degree in a technical field

Tools

Spark

Ray

Flink

Airflow

Dagster

Argo

Cloud object storage

Containerized batch compute

Job description

Abaka AI is hiring a Multimodal Data Engineer in the United States to build the systems and workflows that turn complex data requirements into high-quality datasets for some of the world’s most advanced AI teams.

You’ll own projects from initial requirements through final delivery: assessing feasibility, defining quality standards, building scalable pipelines, coordinating work across engineers and external vendors, and ensuring datasets meet spec.