Accenture Federal Services
Computer Vision Data Engineer
About this role
Accenture Federal Services seeks a Computer Vision Data Engineer to design and maintain end-to-end data pipelines for high-volume image, video, and metadata processing. The role requires 5+ years of ETL expertise, hands-on proficiency with tools like NiFi, Prefect, Docker, FFmpeg, and OpenCV, and an active TS/SCI security clearance.
What you'll do
- Design and build end-to-end data pipelines for computer vision workloads including ingestion, transformation, and delivery of media assets
- Implement workflow orchestration using NiFi and Prefect with automated scheduling and monitoring
- Develop high-performance media processing services 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
- Establish monitoring, logging, and testing strategies for pipeline stability and data quality
What they're looking for
- ETL pipeline design and implementation
- NiFi workflow orchestration
- Prefect workflow management
- Java development
- FFmpeg video and audio processing
- OpenCV image processing
- Docker containerization
- Distributed systems and scalable data processing
Benefits
- Recognized Glassdoor Top 100 Best Place to Work
- Hands-on experience and professional development opportunities
- Industry certifications and training programs
- Collaborative and inclusive work environment
- Wide variety of benefits package
- Opportunity to work on high-impact federal missions
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Accenture Federal Services
Accenture Federal Services builds and maintains mission-critical technology solutions for the U.S. federal government, including cloud infrastructure, enterprise systems integrations, and cyber defense tools. The company is hiring DevOps engineers, full-stack developers, SAP specialists, and test engineers to support classified and unclassified federal government projects.
- Website
- accenturefederal.com
Likely interview questions
- Describe your experience designing and maintaining computer vision or media-centric data pipelines at scale
- Walk us through a complex ETL project you've built—what were the challenges and how did you optimize for performance?