AI and Data Engineer
Tampa, FL
- Pay
USD 89,000–170,200/yearAnnual period assumed — pay source
The pay range for 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 is: $89,000—$170,200 USD What We Believe
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Read the full posting
What you’ll work on
Full postingDesign, 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- Experience in any of the following:
- Proven experience building and maintaining computer vision or media‑centric data pipelines.
- Experience working with images, videos, and related metadata structures.
- Familiarity with distributed systems and scalable data processing patterns.
Preferred experience
- 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.
- Knowledge of cloud environments and orchestration platforms (AWS, Azure, GCP, Kubernetes).
Qualification wording
Experience in any of the following:
Proven experience building and maintaining computer vision or media‑centric data pipelines.
Experience working with images, videos, and related metadata structures.
Familiarity with distributed systems and scalable data processing patterns.
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.
Knowledge of cloud environments and orchestration platforms (AWS, Azure, GCP, Kubernetes).
Tools in this posting
- Java
- AWS
- Azure
- Docker
- Google Cloud (GCP)
- Prefect
- Kubernetes
Source — Tool mentions in context
- 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.
- Exposure to streaming media systems or real‑time video processing. - Knowledge of cloud environments and orchestration platforms (AWS, Azure, GCP, Kubernetes). - Who You Are:
- 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.
- 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.
- 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.
Job description
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The pay range for 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 is: $89,000—$170,200 USD What We Believe
- Location & working pattern
Tampa, FL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.
More source context
Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
More relevant text appears in the full description.
- Status in our records
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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