AI and Data Engineer
Summary
Builds and maintains end-to-end computer vision data pipelines for US federal government clients, handling ingestion, transformation, and delivery of image, video, and metadata assets using NiFi, Prefect, Java, FFmpeg, OpenCV, and Docker. Requires an active TS/SCI clearance.
We are seeking a highly skilled 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
- Experience in 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: – 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 withJava (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).
- Who You Are:
- 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.
Clearance
- An active TS/SCI federal security clearance is required
- This will require additional clearance requirements like a CI-Poly after selection for the role.
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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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.
Skills
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Basics
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Short answers (1)
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- State
- Are you at least 18 years of age?
- Are you legally authorized to work in the United States?
- Many AFS positions require US citizenship. Please indicate your citizenship status so we can determine eligibility for specific roles. optional
- Will you now or in the future require sponsorship for employment visa status (for example, H-1B visa status)?
- Have you entered into a non-disclosure or non-compete agreement or understanding of any kind?
- Have you worked at Accenture in the past?
- How did you hear about us?
- Do you hold a security clearance?
- At your current employer, are you currently working on a project with Accenture or have you worked on a project with Accenture in the past 24 months?
- Are you a current employee of the U.S. Government (including U.S. Congress or military) or any state or local government? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below). NOTE: answer yes if you have accepted the “Fork-in-the-Road” offer, separated with a Deferred Retirement Plan, or are on administrative leave pending separation from the Government.
- Will you be serving as enlisted personnel in either the Reserves or the National Guard while working for AFS?
- Were you an employee of the U.S. Government (including U.S. Congress or military) or any state or local government within the past 10 years? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below).
- Do you have any family members or people you have close relationships with who work for Accenture Federal Services?
- Affirmation