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Data Engineer

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Onsite

Data Engineer

CACI International Inc

Data Engineer

Skills

RustDeep LearningDockerPythonGolangData ScienceJavaDevOpsC#NumPypandasAmazon EC2AWS LambdaGitGitLabBitbucketMachine LearningAIAWSLinuxKubernetesNLP / Natural Language ProcessingPySparkProcess Improvement

5 months ago

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Important information


Contract type:

Permanent

Location:

King of Prussia, PA, USA

Work mode:

Onsite

Published on:

23 August 2026

What they need


Job Title: Data Engineer

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

Anticipated Posting End: 12/31/2026

The Opportunity We are looking for a 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.  We have multiple positions available and welcome all experience levels!

Responsibilities You will work within a multidisciplinary 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. Responsibilities also include:

  • Assembling large, complex sets of data to support AI/ML algorithm implementation
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources
  • Curating and maintaining data that is stored in support of metrics and evaluation
  • Implementing Artificial Intelligence/Machine Learning algorithms
  • Identifying designs and implementing 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:

  • Active TS/SCI Clearance
  • B.S. in Data Science, AI/ML, Computer Science, or related field
  • 5+ years of experience, preferably as Data Engineer/Scientist, Machine Learning Engineer, or Software Development
  • Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)
  • Experience building ETL pipelines with either PySpark/Spark or Temporal.io workflows
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)

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)
  • Active TS/SCI U.S. Government Security Clearance with Polygraph
  • 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 $82,100-$172,400

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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