Staff Data Engineer

CACI International Inc

Staff Data Engineer developing and implementing AI/ML algorithms, managing complex data sets at CACI. Leading a team focused on innovative AI solutions to customer challenges.

Posted 5/16/2026full-timePhiladelphia • Colorado, Pennsylvania • 🇺🇸 United StatesLead💰 $98,500 - $206,800 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerEC2LinuxNumpyPandasPythonTypeScript

About the role

Key responsibilities & impact

Lead and mentor an interdisciplinary team consisting of both developers and researchers
Assemble large, complex sets of data to support AI/ML algorithm implementation
Build required infrastructure for optimal extraction, transformation and loading of data from various data sources
Curate and maintain data used for metrics and evaluation
Implement Artificial Intelligence/Machine Learning algorithms
Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability
Optimize data delivery and automate manual processes
Use Agile methodologies to develop software

Requirements

What you’ll need

B.S. in data science, AI/ML, computer science, or related field
Minimum 8 years of relevant experience as a Data Engineer/Scientist
Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)
Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
Active TS/SCI U.S. Government Security Clearance
M.S. or PhD in Data Science, AI/ML, Computer Science, or related field (desired)
Experience with Gitlab, DevSecOps utilizing test-driven development, containers (e.g. Docker, Docker Compose), cloud services (e.g. AWS)
Experience leading an interdisciplinary team of researchers and software developers (desired)
Experience with Large Language Models and applying Transformer-based architectures
Experience with Natural Language Processing algorithms such as BERT
Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
Experience with Linux
Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, Bedrock, etc.
Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries (desired)
Experience shaping and writing proposals (desired)

Benefits

Comp & perks

Comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
Flexible time off benefit
Access to robust learning resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata sciencemachine learningartificial intelligencedata pipelinesPythonNatural Language ProcessingLarge Language ModelsCUDAtest-driven development

Soft Skills

leadershipmentoringteam collaborationprocess improvementcommunication

Certifications

TS/SCI U.S. Government Security Clearance