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AI and Data Engineer

Accenturefederalservices · Tampa, FL

remoteunknown$89,000–$89,000Posted Oct 7, 2026JavaNiFiPrefectFFmpegOpenCVDockerKubernetesAWS

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About this role

## AI and Data Engineer — Accenture Federal Services ### Overview Accenture Federal Services is seeking a **Data Engineer** with hands-on experience building and maintaining **computer vision data pipelines**. You’ll work comfortably with **images, videos, and associated metadata**, and 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 (ingestion, transformation, and delivery of image/video/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 with **computer vision engineers**, **MLOps**, and **platform teams** to ensure data readiness and pipeline reliability - Optimize processing for **speed, accuracy, and cost efficiency** - Establish **monitoring, logging, and testing** strategies to ensure pipeline stability and data quality ### Qualifications - 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/audio processing) - **OpenCV** (image processing/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 in fast-moving technical environments - Strong communicator partnering across engineering, data science, and product teams - Enjoys building reliable, high-impact systems at scale ### Clearance - **Active TS/SCI federal security clearance required** - Additional clearance requirements (e.g., **CI-Poly**) will be required after selection ### Pay Range (US locations listed) - **$89,000 — $170,200 USD** *Note: Compensation varies based on factors such as office location, role, skill set, and experience.*

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