Computer Vision Data Engineer

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We are seeking a highly skilled Computer Vision Data Engineer with hands-on experience building and maintaining computer vision data pipelines. The ideal candidate has strong ETL expertise, works comfortably with images, videos, and associated metadata, and understands how to design robust, scalable processing systems for high-volume media data flows.
Responsibilities

• Design, build, and maintain end-to-end data pipelines for computer vision workloads, including ingestion, transformation, and delivery of image, video, and metadata assets.
• Implement and manage automated workflow orchestration using NiFi and Prefect.
• Develop high-performance media processing services and tools using Java, FFmpeg, and OpenCV.
• Containerize and deploy data services using Docker.
• Collaborate closely with computer vision engineers, MLOps, and platform teams to ensure data readiness and pipeline reliability.
• Optimize processing steps for speed, accuracy, and cost efficiency.
• Establish monitoring, logging, and testing strategies to ensure pipeline stability and data quality.

Qualifications

• 5 years of experience with any of the following:
  • Proven experience building and maintaining computer vision or media-centric data pipelines.
  • Strong ETL background involving complex transformations, metadata generation, and media normalization.
  • Hands-on experience with any of the following: - NiFi (data flow management) - Prefect (workflow orchestration) - Docker (containerization) - FFmpeg (video and audio processing) - OpenCV (image processing and analysis)
  • Experience working with images, videos, and related metadata structures.
  • Familiarity with distributed systems and scalable data processing patterns.

Preferred Qualifications

• Experience with Java (core development)
• Experience with KLV metadata extraction (e.g., 0903, 0601).
• Familiarity with computer vision model deployment, training workflows, or deep learning frameworks.
• Exposure to streaming media systems or real-time video processing.
• Knowledge of cloud environments and orchestration platforms (AWS, Azure, Google Cloud Platform, Kubernetes).
• Detail-oriented, curious, and comfortable working in fast-moving technical environments.
• Strong communicator with the ability to partner across engineering, data science, and product teams.
• Someone who enjoys building reliable, high-impact systems that enable computer vision capabilities at scale.

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As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$119,700-$165,100 USD
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