Chantilly, VA

Data Jobs in Chantilly, VA

41 jobs found

Include remote jobs

1d ago

AI Engineer SME

AnaVation Chantilly, VA

Chantilly, VA

1d ago

$95k - $213k/yr Full time Agentic Ai Ai Agent Ai Ml

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Job Description

AnaVation is seeking an AI Engineer SME to lead research, design, development, and execution of specialized operational and analytic cyber AI capabilities supporting real-world missions. This onsite role in Chantilly, VA requires an active Top Secret (TS) clearance with eligibility to obtain SCI access via a CI polygraph.

Responsibilities

Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.
Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit-learn.
Deploy and manage models using MLOps, CI/CD, containerization, and monitoring frameworks.
Implement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows.
Optimize models for accuracy, latency, cost, and scalability across distributed environments.
Support AI governance, documentation, ethical compliance, and secure posture alignment.
Provide technical mentorship and drive cross-team engineering standardization.

Requirements

Active Top Secret (TS) clearance with eligibility for SCI access and ability to obtain a Counterintelligence (CI) polygraph.
Bachelor’s degree or master’s degree with 10 years of experience specializing in AI/ML engineering.
Hands-on experience deploying production AI/GenAI and LLM systems, including embeddings, multi-model and multimodal orchestration, reasoning, memory, and tool execution.
Proficiency with PyTorch, TensorFlow, scikit-learn, and cloud platforms (AWS, Azure, or GCP), including practical MLOps experience using MLflow, Azure ML, or Vertex AI.
Experience implementing NLP, computer vision, reinforcement learning, and temporal, spatial, geographic, or quantitative AI capabilities, including named entity recognition, contextual entity extraction, and entity resolution.
Experience developing multi-step retrieval and structured output workflows with source citations, provenance, and traceable analytic results.
Expertise in data architecture integrating vector, graph, and relational databases, including automated ETL pipeline development, scheduling, optimization, complex parsing, and schema-aligned ingestion and normalization of structured and unstructured data.
Experience implementing data-layer Attribute-Based Access Control (ABAC) and end-to-end data lineage tracking.
Experience supporting air-gapped, hybrid, and on-premises environments, including locally hosted GPU servers, hyperconverged infrastructure, container orchestration, distributed systems, and multitenant Cross-Domain Solutions (CDS).
Proficiency in full-stack application development and integration using TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes to connect user interfaces, backend services, middleware, retrieval systems, databases, and AI/GenAI services.
Experience delivering and maintaining solutions in agile engineering environments.
Ability to work on-site in Chantilly, VA.

Required Technologies

AI/ML/GenAI, Python, PyTorch, TensorFlow, scikit-learn, MLOps, CI/CD
Vector databases, embeddings, LLM applications, agentic AI, tool calling workflows
AWS, Azure, GCP; MLflow, Azure ML, Vertex AI
NLP, computer vision, reinforcement learning, named entity recognition, entity resolution
ETL, Attribute-Based Access Control (ABAC), data lineage tracking
Air-gapped, on-premises, GPU servers, hyperconverged infrastructure, container orchestration, distributed systems, Cross-Domain Solutions (CDS)
TypeScript, React, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, Kubernetes

Benefits

Generous cost sharing for medical insurance for the employee and dependents
100% company paid dental insurance for employees and dependents
100% company paid long-term and short-term disability insurance
100% company paid vision insurance for employees and dependents
401k plan with generous match and 100% immediate vesting
Competitive Pay
Generous paid leave and holiday package
Tuition and training reimbursement
Life and AD&D Insurance

Preferred Qualifications

Experience in federal, defense, or highly regulated environments.
Knowledge of ethical AI, governance frameworks, and secure development practices.
Skills in large-scale optimization, GPU acceleration, or distributed training.
Experience building APIs, microservices, and automated ML workflows.

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12d ago

Data Engineer

VTG Chantilly, VA

Chantilly, VA

12d ago

Full time Aws Cloudwatch Big Data Bigdata

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Job Description

VTG is seeking an experienced Data Engineer to design, develop, and maintain scalable data processing solutions. The role centers on building ETL pipelines and analytics-ready datasets, integrating structured and unstructured sources, and ensuring data quality within an Agile delivery environment.

Key Responsibilities

Design, develop, and maintain scalable data processing and ETL pipelines using Python, PySpark, and Apache Spark.
Extract, transform, and load data from multiple structured and unstructured sources into optimized, query-ready datasets.
Develop and maintain data mapping, transformation, and integration processes aligned to business and technical requirements.
Process large volumes of operating system logs, application logs, and other data sources to produce structured reports, metrics, and analytics dashboards.
Transform disparate data formats into enriched, indexed, and query-friendly datasets.
Develop and optimize data processing workflows to improve performance, efficiency, and reliability.
Build and maintain data integration solutions using SQL, MySQL, and PostgreSQL.
Work with structured and semi-structured data formats, including XML and JSON.
Perform data extraction, cleansing, transformation, and validation to ensure accuracy and consistency.
Create and maintain data models, database queries, and data mapping specifications.
Use Regular Expressions (RegEx) to parse, extract, validate, and transform complex data.
Support integration of data across multiple systems, applications, and external sources.
Produce and maintain ETL design documentation, including source-to-target mappings, transformation rules, and data dictionaries.
Utilize development environments and tools such as Jupyter Notebooks and Visual Studio for data modeling, analysis, and development.
Implement data validation and quality assurance processes to protect data integrity, accuracy, and completeness.
Troubleshoot and resolve data processing, integration, and performance issues.
Maintain technical documentation describing data workflows, processing logic, and integration requirements.

Required Qualifications

Active TS/SCI with Polygraph
Bachelor’s degree in Computer Science, Information Technology, or a related technical field
Demonstrated experience developing data processing solutions using Python, PySpark, and Apache Spark
Hands-on experience designing, developing, and maintaining ETL pipelines and data transformation workflows
Strong background in data extraction, mapping, transformation, integration, and loading processes
Proficiency in SQL and experience with relational databases such as MySQL and PostgreSQL
Experience processing structured, semi-structured, and unstructured datasets
Experience working with XML, JSON, and other common data formats
Strong knowledge of Regular Expressions (RegEx) for data parsing, extraction, and manipulation
Experience analyzing operating system and application logs and converting them into actionable reports and dashboards
Experience developing reports and visualizations using AWS CloudWatch, Kibana, or comparable tools
Experience with data profiling, data quality analysis, validation, and troubleshooting
Ability to develop detailed ETL documentation, including source-to-target mappings and data dictionaries
Experience using Jupyter Notebooks, Visual Studio, or similar development environments
Strong analytical, troubleshooting, and problem-solving skills
Experience collaborating with customers and integration partners to define and clarify technical requirements
Familiarity with Agile software development methodologies and practices

Location and Work Setup

Chantilly, VA (onsite)

Technology Stack

Python, PySpark, Apache Spark, SQL, MySQL, PostgreSQL, XML, JSON, Regular Expressions (RegEx), Jupyter Notebooks, Visual Studio, AWS CloudWatch, Kibana

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12d ago

Applied Machine Learning Engineer

The Aerospace Corporation Chantilly, VA

Chantilly, VA

12d ago

$110k - $194k/yr Full time Artificial Intelligence Data Science DevOps

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Job Description

The Aerospace Corporation is hiring a full-time Applied Machine Learning Engineer for 100% onsite work in Chantilly, VA.

Responsibilities

Support customers spanning National Security Space (e.g., AF, NRO) through civil (e.g., NASA, NOAA) and commercial domains (commercial space, autonomous vehicles, etc.)
Apply data science and AI knowledge across space enterprise capabilities and align work with corporate workforce development and strategic focus areas
Evaluate AI/ML technologies for scalable, resilient, mission-critical production environments
Coordinate the development and execution of AI/ML experiments
Coordinate development of proof-of-concept infrastructure configurations and software prototypes
Collaborate with small, innovative teams to deliver features and products
Present results through written and verbal communication to team members and stakeholders
Reinforce a culture focused on learning and progress with team members and others
Apply accountability and innovation through leadership competency development
Maintain ongoing learning to stay current with government missions and the evolving data science and AI landscape
Continue domain education (e.g., physics, math, and/or computer science) while staying aligned with existing systems and future mission objectives
Note that duties and responsibilities may change or new assignments may be added as needed

Requirements

Bachelor’s or Master’s degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or related technical field(s)
5 or more years of experience in a Data Scientist, Machine Learning Engineer, or AI/ML Researcher role (any domain)
Strong proficiency in at least two programming languages (examples: Python, R, C/C++)
Familiarity with ML frameworks and experience with machine learning and deep learning libraries in Python
Hands-on experience with container orchestration tooling (e.g., Docker, Kubernetes)
Experience with software engineering concepts with an AI focus (e.g., MLOps/DevOps, ML Development Lifecycle, data structures)
Working knowledge of Unix/Linux operating systems
Ability to obtain and maintain a security clearance issued by the US government (U.S. citizenship required)
8 or more years of experience in a Data Scientist, Machine Learning Engineer, or AI/ML Researcher role (any domain)
Demonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration
Hands-on experience with MLOps and data engineering tools (e.g., MLFlow, Kubeflow, Neptune, Airflow, DVC)
Strong preference for an advanced degree in a related field(s) (Computer Science, Computer Information Systems, Electrical or Computer Engineering, or related)
Strong preference for experience designing or managing enterprise-level ML platforms and production-grade ML models at scale
Strong preference for familiarity with HPC hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures
Strong preference for demonstrated ability to apply judgment and critical thinking in a scientific discipline
Strong preference for experience implementing and guiding teams toward software development best practices
Strong preference for experience with SQL, NoSQL, Cypher, and other big data querying languages
Strong preference for experience with big data frameworks (e.g., Hadoop, Spark, Flink)
Strong preference for familiarity with data pipelining and streaming technologies (e.g., Apache Kafka, temporal)
Strong preference for demonstrated contributions to open-source software repositories (e.g., GitHub, Kaggle)
Strong preference for experience deploying ML models on cloud platforms (e.g., AWS, Azure)
Strong preference for domain expertise aligned to one or more customer mission areas (e.g., USSF, NRO)
Strong preference for an active security clearance

Technologies

Python, R, C/C++
Docker, Kubernetes
Unix/Linux
MLOps, DevOps, ML Development Lifecycle
MLFlow, Kubeflow, Neptune, Airflow, DVC
SQL, NoSQL, Cypher
Hadoop, Spark, Flink
Apache Kafka, temporal
github, kaggle
AWS, Azure
GPUs, TPUs, CUDA
MLOps/DevOps (noted separately), container orchestration tooling

Benefits

Comprehensive health care and wellness plans
Paid holidays, sick time, and vacation
Standard and alternate work schedules, including telework options
401(k) Plan: total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; immediately eligible and vested upon hire
Flexible spending accounts
Variable pay program for exceptional contributions
Relocation assistance
Professional growth and development programs
Education assistance programs
Inclusive work environment built on teamwork, flexibility, and respect

Leadership Competencies

Operate Strategically
Lead Change
Engage with Impact
Foster Innovation
Deliver Results

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13d ago

Cyber Data Analyst

Booz Allen Hamilton Chantilly, VA

Chantilly, VA

13d ago

$78k - $176k/yr Full time Cyber Investigation Cyber Investigations Cyber Threat Analysis

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Job Description

Booz Allen Hamilton is seeking a client-facing Cyber Data Analyst in Chantilly, VA (onsite) to analyze structured and unstructured data and deliver insights for cyber investigations and operations.

Partner with clients to understand questions and needs, then explore their data-rich environments to identify relevant information
Develop a deep understanding of client data to support investigation and operational use cases
Interpret and advise clients on what findings mean and how information can drive impact in cyber investigations and operations

Requirements

5+ years of experience performing analysis on data from a variety of sources to produce analytical reports, data summaries, and responses to inquiries
Experience drafting clear, concise reports based on complex data analyses
Experience briefing technical findings to a range of stakeholders
Experience managing the compilation, cataloging, caching, distribution, and retrieval of large data sets
Experience implementing automation for processing, presenting, or manipulating data
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree

Technologies

Splunk
Cribl
Wireshark
Zeek
Arkime
Python
PowerShell
Shell scripting

Nice If You Have

Experience with data aggregation and ETL tools such as Splunk or Cribl
Experience with network traffic analysis tools such as Wireshark, Zeek, and Arkime
Experience with scripting languages such as Python, PowerShell, or shell scripting

Security Clearance

Selected applicants will be subject to a security investigation
Applicants may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required

Work Model

Onsite: work will primarily be performed full-time at a customer facility with direct collaboration with colleagues and customers as required by the role

Compensation

Salary range: $77,600 - $176,000 per year (annualized USD)
Final compensation is determined by factors including location, education, knowledge, skills, competencies, experience, and contract-specific affordability and organizational requirements
Projected range represents the typical salary range and is one component of Booz Allen’s total compensation package
This posting will close within 90 days from the posting date

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program acknowledging employees for exceptional performance and superior demonstration of company values
Full-time and part-time employees working at least 20 hours a week are eligible to participate in Booz Allen’s benefit programs

Identity Verification

During the hiring process, candidates must complete an identity verification process leveraging advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud
Applicants are expected to be on camera during interviews and assessments
Booz Allen reserves the right to take a picture to verify identity and prevent fraud

Candidate AI Usage Policy

Use of AI tools to assist with responses during interviews is prohibited unless permission is explicitly provided
Prohibition applies to both in-person and virtual interviews

Non-Discrimination

All qualified applicants receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable federal, state, local, or international law

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17d ago

Palantir Data Engineer

JTEC Consulting Chantilly, VA

Chantilly, VA

17d ago

$140k - $160k/yr Full time Backend Developer API APIs

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Job Description

JTEC Consulting is seeking a mid-level Palantir Data Engineer to join an agile data team modernizing and operationalizing data workflows using Palantir Foundry. This role is focused on building production-ready data pipelines, integrating external systems, supporting mission-focused user experiences, and providing Tier 2 technical triage while contributing to ongoing operations and maintenance.

Role Responsibilities

Architect, build, and optimize scalable ETL/ELT pipelines using Palantir Pipeline Builder and advanced Python.
Manage end-to-end movement and ingestion of structured and unstructured data into local and enterprise storage repositories using compliant, approved methods.
Create one-time extraction scripts and automated recurring ingestion pipelines from heterogeneous data sources.
Transform raw, disparate datasets into clean, well-governed enterprise and standalone data models suitable for production analytics.
Build direct integrations with external systems via RESTful APIs, parsing responses into clean, typed data objects.
Design, build, and configure mission-focused user interfaces within Palantir Workshop.
Write, test, and deploy custom application functions using TypeScript to extend interface capabilities and user interactions.
Develop custom tools, reusable code libraries, and micro-services to automate operational data engineering workflows.
Act as a Tier 2 escalation point to diagnose, triage, and remediate technical data issues reported by end-users.
Convert customer feedback and operational pain points into detailed functional and technical requirements, including clear downstream impacts to the environment.
Collaborate with Data Scientists, analysts, and project stakeholders to define data schemas, exploration formats, and analytical transformation rules.
Perform operations and maintenance (O&M), performance tuning, and feature enhancements on existing data pipelines and codebases.
Participate in peer code reviews, architectural brainstorming, and solution design sessions.
Create and maintain engineering documentation, including ETL field-level mappings, code location references, user guides, and access protocols.

Required Qualifications

Current TS/SCI with agency-specific polygraph
U.S. citizenship
Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline (or equivalent years of direct experience in lieu of a degree)
3+ years of related professional software engineering or data engineering experience
Effective written and verbal communication skills for a collaborative, cross-functional team
Hands-on proficiency with Palantir Foundry, including deep operational experience with Palantir Pipeline Builder and Palantir Workshop
Advanced proficiency in Python (data manipulation, ETL design, API parsing, scripting)
Professional experience writing and integrating TypeScript for front-end interfaces and custom functions
Experience connecting to external APIs, handling authentication, and serializing/parsing complex API payloads into relational or object-based data structures
Strong experience processing, cleaning, and modeling both structured and unstructured data, including edge cases and imperfect states
Ability to perform Tier 2 technical triage, assess architectural dependencies, and communicate technical trade-offs to non-technical stakeholders

Technologies

Palantir Foundry
Palantir Pipeline Builder
Palantir Workshop
Python
TypeScript
RESTful APIs

Security Clearance Requirement

Current TS/SCI with polygraph

Location, Work Style, and Relocation

Chantilly, VA (100% onsite)
Relocation support for candidates outside the commuting area will be considered

Salary

USD 140,000 - 160,000 per year.

Preferred Qualifications

Experience working directly with Data Science teams to format and feature-engineer data for predictive modeling
Familiarity with software engineering best practices, including Git version control, continuous integration, and automated pipeline testing
Background in cross-functional, small-team environments emphasizing autonomy, rapid prototyping, and end-to-end ownership
Demonstrated success producing clear data lineage and technical documentation

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17d ago

AI / Machine Learning Engineer - Senior

Falls Technology Chantilly, VA

Chantilly, VA

17d ago

$175k+/yr Full time Artificial Intelligence Data Architecture Data Integration

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Job Description

Falls Technology is hiring a Senior AI / Machine Learning Engineer to train machine learning models and incorporate pre-trained models into production data workflows for a federal national-security mission. The role focuses on building reliable AI workflows using AWS ETL pipelines and implementing software components in Python, Java, and C++ with PyTorch or TensorFlow.

Key Responsibilities

Automate workflows and business processes using AI to support operational needs.
Train models and integrate pre-trained models into production data flows.
Design data structures and data models, and contribute to software architecture.
Develop AI and ML software components using Python, Java, and C++, leveraging PyTorch or TensorFlow.
Build and support ETL pipelines on AWS to move and transform data for downstream AI capabilities.

Required Qualifications

Active TS/SCI with Polygraph.
Hands-on experience with PyTorch or TensorFlow.
Proficiency in Python, Java, C++, and Conda.
Strong foundation in probability, statistics, and algorithms.
Experience with data structures, data modeling, and software architecture.
Ability to train and integrate ML models into data-driven systems.

Technologies and Tools

PyTorch, TensorFlow
Python, Java, C++
Conda
ETL, AWS

Location

Chantilly, VA (onsite).

Compensation

USD 175,000 per year.

Benefits

9% retirement contribution
100% of family medical premiums paid
4 weeks of PTO

Nice to Have

Experience with secure AI on sensitive data.
Experience leading AI/ML initiatives.
Additional background in ETL pipelines and AWS.
Hugging Face / LLM experience.

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18d ago

Data Scientist / Technical Lead (AI/ML & Media Analysis) - Lead

Falls Technology Chantilly, VA

Chantilly, VA

18d ago

$200k+/yr Full time Artificial Intelligence Data Analysis Data Science

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Job Description

Falls Technology is seeking a lead to evaluate and integrate AI/ML and commercial tools for media analysis in support of a federal national-security mission. The role combines model evaluation, multimedia forensics, and systems engineering to take selected capabilities from assessment through cloud deployment.

Key Responsibilities

Evaluate AI/ML models and commercial (COTS) tools for media analysis.
Lead systems engineering efforts to integrate selected tools into cloud environments.
Apply multimedia forensics, including synthetic media and deepfake generation and detection.
Plan and manage evaluation projects, including briefing results.
Guide a technical team from evaluation through deployment.