Senior Multimodal Data Engineer for AI Pipelines

Volto Consulting; Dallas (TX); On-site; USD 100,000 - 170,000; Full time

Job summary

Volto Consulting in Dallas, TX, seeks a senior data engineer to design and maintain scalable pipelines for multimodal data (camera, LiDAR, GNSS, IMU, telemetry) for AI training. You will build ingestion, synchronization, validation, and publishing workflows using Python, SQL, and distributed data processing.

You will ensure data quality, metadata standards, lineage, and dataset versioning; optimize performance and costs; collaborate with AI, annotation, quality, and platform teams; document

Qualifications

• 5+ years of data engineering experience.
• Experience processing unstructured multimodal data (video, images, LiDAR, GNSS, IMU, telemetry).
• Strong Python and SQL skills with distributed data processing.

Responsibilities

• Design, develop, and maintain scalable pipelines for camera, LiDAR, GNSS, IMU, and telemetry data.
• Normalize, synchronize, enrich, and package multimodal data for annotation and AI training.
• Implement automated checks for completeness, integrity, calibration, timestamps, formats, and dataset consistency.
• Create reusable data models, metadata standards, lineage, and dataset-versioning practices.
• Optimize pipeline performance, reliability, observability, and cost.
• Troubleshoot data defects and collaborate with AI, annotation, quality, and platform teams.
• Document technical designs, operating procedures, and handoffs.

Skills

Data engineering

Multimodal data

AI training data pipelines

Python

SQL

Distributed data processing

Cloud data platforms

Data quality

Metadata management

Data lineage

Tools

Airflow

Spark

Job description

Volto Consulting in Dallas, TX, seeks a senior data engineer to design and maintain scalable pipelines for multimodal data (camera, LiDAR, GNSS, IMU, telemetry) for AI training. You will build ingestion, synchronization, validation, and publishing workflows using Python, SQL, and distributed data processing.

You will ensure data quality, metadata standards, lineage, and dataset versioning; optimize performance and costs; collaborate with AI, annotation, quality, and platform teams; document