Data Engineer - Computer Vision

Altamira Technologies Corporation; Tampa (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Altamira Technologies Corporation in Tampa, FL is seeking a data engineer to design, build, and maintain end-to-end data pipelines for computer vision workloads involving images, videos, and metadata. The role requires hands-on ETL, workflow orchestration with NiFi/Prefect, and containerized services using Docker.

Ideal candidates will have experience with Java, FFmpeg, OpenCV, and scalable data processing.

Qualifications

• Proven experience building and maintaining computer vision or media-centric data pipelines.
• Strong ETL background involving complex transformations, metadata generation, and media normalization.

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.

Skills

Data engineering

ETL

Distributed systems

Image/video processing

NiFi

Prefect

Docker

OpenCV

FFmpeg

Java

Tools

NiFi

Prefect

Docker

FFmpeg

OpenCV

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.

Position

Data Engineer

Position Location

Tampa, Florida

Position Description

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.

Key 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.

Required Qualifications

• 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 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).

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.