Data Engineering Lead: Scalable ML Data Pipelines

Hark; San Jose (CA); On-site; USD 170,000 - 450,000; Full time

Job summary

Hark, located in San Jose, California, is looking for a skilled data engineer to build data infrastructure for advanced AI systems. In this high-responsibility role, you will design scalable data pipelines, own the data engineering stack, and collaborate with teams to ensure the integrity of training data.

The ideal candidate will have over 5 years of experience, a solid understanding of machine learning data systems, and excellent communication skills. The position offers a competitive salary and the opportunity to work at the forefront of AI innovation.

Qualifications

• 5+ years of relevant data engineering experience.
• Experience at a fast‑growing AI or research‑driven company is a strong plus.
• Familiarity with multimodal data formats and processing pipelines.

Responsibilities

• Design and build scalable data pipelines for training data.
• Own the data infrastructure stack: ingestion to delivery.
• Collaborate with model researchers on data requirements.
• Build tooling for data quality inspection.
• Define and enforce data quality standards.
• Design data systems for reproducibility and scale.
• Drive improvements to throughput, quality, and reliability.

Skills

Data engineering fundamentals

Data systems for machine learning

Modern data stack

Systems thinking

Quality instinct

Strong communication

Tools

Spark

Beam

Flink

DVC

Delta Lake

Iceberg

Job description

Hark, located in San Jose, California, is looking for a skilled data engineer to build data infrastructure for advanced AI systems. In this high-responsibility role, you will design scalable data pipelines, own the data engineering stack, and collaborate with teams to ensure the integrity of training data.

The ideal candidate will have over 5 years of experience, a solid understanding of machine learning data systems, and excellent communication skills. The position offers a competitive salary and the opportunity to work at the forefront of AI innovation.