Data Engineer - Computer Vision

Altamira Technologies Corp. • Tampa, FL

1d • $155,000 • Onsite

About The Position

Altamira Technologies Corporation is seeking a highly skilled Data Engineer with hands-on experience in 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. Must have a TS/SCI clearance.

Requirements

• 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)
• Hands‑on experience with Prefect (workflow orchestration)
• Hands‑on experience with Docker (containerization)
• Hands‑on experience with FFmpeg (video and audio processing)
• Hands‑on experience with OpenCV (image processing and analysis)
• Experience working with images, videos, and related metadata structures.
• Familiarity with distributed systems and scalable data processing patterns.
• TS/SCI clearance.

Nice To Haves

• 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).

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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed