Staff Data Engineer

Job Title: Staff Data Engineer

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

Anticipated Posting End: 7/13/2026

The Opportunity:
We are looking for a Staff Data Engineer/Scientist looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, and time-series predictive analytics. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. 

Responsibilities:

Lead and mentor an interdisciplinary team consisting of both developers and researchers. The team's core focus is the implementation of ETL pipelines to support a variety of AI/ML and LLM solutions, which in turn address a broad range of customer challenges.

• Assembles large, complex sets of data to support AI/ML algorithm implementation 
• ​Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources 
• ​​Curate and maintain data that is stored in support of metrics and evaluation 
• ​Implement Artificial Intelligence/Machine Learning algorithms 
• ​Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes 
• Using Agile methodologies to develop software.​

Qualifications:

Required: 

• B.S. in data science, AI/ML, computer science, or related field​
• ​​Minimum six (6) 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 with a Polygraph

Desired:

• M.S. or PhD in Data Science, AI/ML, Computer Science, or related field​
• ​Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark)  
• ​Active TS/SCI with a recent Full-Scope Polygraph (FSP)​
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following:
  • Large Language Models and experience identifying ways to incorporate them into new domains and applications
  • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
  • Natural Language Processing algorithms such as BERT
  • Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines
  • Applying clustering algorithms and/or deep neural networks to real life problems
  • Implementing tracking and pattern-of-life algorithms
• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• 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 with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience shaping and writing proposals

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What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

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