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# Data Engineer III (Top Secret Clearance Required)

- **Company:** Deloitte T.T.L.
- **Location:** Arlington, VA, United States
- **Salary:** $107,700.0 - $179,500.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Artificial Intelligence, Amazon Web Services, Data Analysis, Optical Character Recognition (OCR), Computer Vision, Microsoft Azure, Cloud Computing, Information Systems, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Power BI, Tensorflow, Systems Integration, Unstructured Data, Workflow Management Systems, Feature Engineering, Microsoft Power Automate, Pytorch, Pandas, Scikit Learn, Information Technology, Data Management, Data Pipelines, Powerapps
- **Published:** August 8, 2026
- **Apply:** https://www.juju.com/job/00000000gm3yj9

## About the Role

+ Ability to work independently and collaborate as part of a team

 + Effective written and verbal communication skills

 + Meticulous attention to detail and quality of work product

 + Ability to build and sustain professional relationships

 + Ability to lead projects or workstreams

 + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

 + Strong interpersonal skills and professional demeanor

 + Ability to meet deadlines

 + Ability to provide clear guidance to others, Required:

 + Bachelor's degree in a related field

 + 3+ years of experience in data engineering or artificial intelligence development

 + 3+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments

 + 1+ year of experience with hands on experience with PowerBI, Power Apps, or Power Automate

 + 1+ year of experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration

 + 1+ year of experience supporting BI, analytics, or technology programs in a mission-driven environment

 + Familiarity with machine learning techniques (classification, clustering, regression, and anomaly detection)

 + Active Top Secret level security clearance, preferred TS/SCI

 + Must be able to commute onsite 100% into Arlington/Rosslyn/D.C.

 + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

 + Advanced degree in Computer Science, Information Systems, Engineering, or a related field

 + Experience with AWS and Azure AI products

 + Experience with natural language processing, computer vision, or optical character recognition solutions

 + Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow

 + Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation

## Description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Project, Data Engineer III on the AI & Data team, you will be responsible for...

 + Designing, building, and maintaining data pipelines and workflows that support analytics, reporting, and operational use cases

 + Developing, testing, and deploying data engineering solutions across cloud and enterprise data environments

 + Transforming, validating, and integrating structured and unstructured data from multiple source systems

 + Collaborating with cross-functional teams to implement scalable data models, data quality controls, and processing frameworks

 + Supporting client delivery by documenting technical solutions, resolving defects, and contributing to continuous improvement of data platforms


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