Note: The job is a remote job and is open to candidates in USA. The Judge Group is recruiting for an unnamed client seeking a Data Engineer to build and scale data platforms for AI and autonomous systems. The role develops pipelines that prepare high-quality multimodal datasets for annotation, model training, and deployment, in collaboration with AI, platform, annotation, and quality teams.
Responsibilities
- Design, develop, and maintain scalable data pipelines for camera, LiDAR, GNSS, IMU, and telemetry data
- Ingest, normalize, synchronize, enrich, and package multimodal datasets for annotation and AI model training
- Build automated validation processes to ensure data completeness, integrity, calibration accuracy, timestamp alignment, format consistency, and overall dataset quality
- Establish reusable data models, metadata standards, lineage tracking, and dataset versioning practices
- Optimize pipeline performance, scalability, reliability, observability, and cost efficiency
- Investigate and resolve data quality issues and pipeline defects
- Partner with AI, machine learning, annotation, platform, and quality teams to support model development initiatives
- Create and maintain technical documentation, operational procedures, and knowledge-transfer materials
Skills
- 5+ years of professional Data Engineering experience
- Experience processing and managing unstructured and multimodal datasets, including: + Video + Images + LiDAR + GNSS + IMU + Telemetry Data
- Proven experience building end-to-end pipelines that create AI training datasets through ingestion, synchronization, transformation, validation, and publishing processes
- Strong programming skills in Python and SQL
- Experience working with distributed data processing frameworks
- Hands-on experience with: + Cloud-based data platforms + Object storage solutions + Data lake and lakehouse architectures + Workflow orchestration tools + Version control systems
- Solid understanding of: + Data quality management + Metadata management + Data lineage + Schema management + Reproducible dataset pipelines
- Experience supporting AI, machine learning, computer vision, autonomous systems, or advanced analytics initiatives
- Background working with large-scale sensor or telemetry datasets
- Experience building highly observable and production-ready data platforms
Benefits
- Work on cutting-edge AI and autonomous technology initiatives.
- Collaborate with highly skilled engineering and data science teams.
- Opportunity to work remotely while supporting an industry-leading organization.
- Medical, dental, and vision coverage, 401(k) with company match, life and disability insurance, paid time off, paid holidays, wellness programs, and opportunities for professional growth and development; benefits may be included, and eligibility may vary based on employment status and location.
Company Overview
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