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Data Engineer

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Onsite

Data Engineer

ClifyX

Data Engineer

Skills

SQL QueriesData EngineeringPythonGitAI

1 day ago

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Important information


Contract type:

Permanent

Location:

Dallas, TX, USA

Work mode:

Onsite

Published on:

19 October 2026

What they need


Job Title: Data Engineer

Location: Dallas, TX Hybrid

Duration: Fulltime/Permanent

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.

Generic Managerial Skills, If Any

Strong ownership, analytical problem solving, communication, and ability to work independently within an agile delivery team

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