Computer Vision Data Engineer

The posting, as Accenture Federal Services wrote it

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

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, GCP, Kubernetes).
• Detail‑oriented, curious, and comfortable working in fast‑moving te

[…]
ions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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