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Must Have Technical/Functional Skills
  • 5+ years of data engineering experience.
  • Demonstrated experience processing unstructured and multimodal data, including video, images, LiDAR, GNSS, IMU, and telemetry.
  • Experience building pipelines that create curated AI training datasets through ingestion, synchronization, transformation, validation, and publishing.
  • Strong Python and SQL skills with experience in distributed data processing frameworks.
  • Experience with cloud data platforms, object storage, data lake or lakehouse patterns, workflow orchestration, and version control.
  • Knowledge of data quality, metadata, lineage, schema management, and reproducible dataset pipelines.
Roles & 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.

Also on the board Same function, level within a rung

Level

Senior

Location

Highland Park, TX

Occupation

Data Warehousing Specialists

Industry

Computer Systems Design Services

Posted

today

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