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CACI International Inc

Staff Data Engineer

Reposted 22 Days Ago
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In-Office
Aurora, CO, USA
99K-207K Annually
Senior level
In-Office
Aurora, CO, USA
99K-207K Annually
Senior level
Lead and mentor a data engineering team to develop AI/ML solutions, build ETL pipelines, and support algorithm implementation. Responsibilities include optimizing data flow and utilizing Agile methodologies.
The summary above was generated by AI
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: 7/20/2026

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

-

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.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:

$98,500-$206,800

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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