Multimodal Data Engineer: AI Pipelines & Data Quality

Realign Llc; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Realign Llc in Dallas, TX is hiring a Data Engineer to build and maintain scalable pipelines for multimodal data, including video, LiDAR, GNSS, and telemetry. You will ingest, synchronize, transform, validate, and publish data for AI training.

The role emphasizes data quality, lineage, and reproducible pipelines, with collaboration across AI, annotation, quality, and platform teams in an agile setting.

Qualifications

• 5+ years of data engineering experience.
• Experience processing unstructured multimodal data (video, images, LiDAR, GNSS, IMU, telemetry).
• Experience building pipelines for AI training datasets (ingestion, synchronization, transformation, validation, publishing).

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, timestamps, 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 experience

Multimodal data processing

Python

SQL

Distributed data processing

Cloud data platforms

Data quality & lineage

Job description

Realign Llc in Dallas, TX is hiring a Data Engineer to build and maintain scalable pipelines for multimodal data, including video, LiDAR, GNSS, and telemetry. You will ingest, synchronize, transform, validate, and publish data for AI training.

The role emphasizes data quality, lineage, and reproducible pipelines, with collaboration across AI, annotation, quality, and platform teams in an agile setting.