CACI International Inc Logo

CACI International Inc

Data Engineer

Posted 14 Hours Ago
In-Office
Aurora, CO, USA
82K-172K Annually
Senior level
In-Office
Aurora, CO, USA
82K-172K Annually
Senior level
Build and maintain ETL pipelines and scalable data infrastructure supporting AI/ML, LLM, NLP, and predictive analytics solutions. Assemble, normalize, curate, and evaluate complex datasets; implement machine learning algorithms; optimize data delivery; automate processes; and improve infrastructure scalability. Collaborate with multidisciplinary researchers and software developers using Agile methodologies, version control, and DevSecOps practices.
The summary above was generated by AI
Job Title: 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: 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 with Adjudicated Polygraph
  • 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.

Similar Jobs

8 Hours Ago
In-Office
Denver, CO, USA
80K-115K Annually
Junior
80K-115K Annually
Junior
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Build and maintain data pipelines, ingestion workflows, transformations, and data products using Python, SQL, and cloud data platforms. Test and troubleshoot systems while applying Git, software testing, and CI/CD practices. Collaborate with senior engineers and cross-functional stakeholders, use AI-assisted tools, and deliver reliable data solutions in a fast-paced startup environment.
Top Skills: Ai-Assisted Development ToolsAirflowCi/CdCloud Data PlatformsDbtGitKafkaPythonSparkSQL
2 Days Ago
In-Office
Denver, CO, USA
200K-290K Annually
Expert/Leader
200K-290K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Design, build, and lead scalable data platforms, pipelines, data products, and ELT/ETL processes supporting analytics and AI/ML workloads. Establish standards for data quality, testing, monitoring, observability, CI/CD, security, and reliability. Own projects through deployment and production support, collaborate across technical and business teams, use AI-assisted engineering tools, and mentor data engineers.
Top Skills: Ai-Assisted Development ToolsAmazon RedshiftApache AirflowApache KafkaAWSAzureCi/CdDatabricksDbtEltETLGCPGitLakehousePythonSnowflakeSQL
2 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Fintech • News + Entertainment • Software • Database • Financial Services
Lead the architecture and development of scalable AWS-based data ingestion, transformation, and orchestration pipelines. Build reliable data infrastructure using Python, SQL, Airflow, Lambda, ECS, SQS, and Terraform. Establish data modeling, quality, lineage, monitoring, testing, and observability practices while partnering with analysts, scientists, and backend engineers. Mentor senior engineers, guide technical decisions, and provide hands-on leadership for complex data platform initiatives.
Top Skills: Amazon EcsAmazon KinesisAmazon RedshiftAmazon S3Amazon SqsApache AirflowApache FlinkAWSAws GlueAws LambdaBeautifulsoupCi/CdDatabricksDockerGreat ExpectationsKafkaMonte CarloMwaaPythonScrapySnowflakeSQLTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account