Jobs in the United States

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Added 1 min ago
Application Support Engineer
North Little Rock, AR
Knowledge of AWS services, tools and best practices.
Added 3 mins ago
Jr. ML Developer
Herndon, VA
As a Junior Machine Learning Developer, you will play a critical role in supporting the design, development, and deployment of machine learning models that drive data-driven decision-making…
Added 3 mins ago
Lead Data Scientist
Digital Turbine Media, Inc.
United States
Stack & Scale: Expert fluency in Python (or R), SQL, and handling petabyte-scale data within cloud infrastructure (e.g., Databricks, Spark, Snowflake, AWS/GCP)
Added 4 mins ago
AI Delivery Engineer - AWS Bedrock
Kunai
Remote, United States
AWS Certifications, such as Solutions Architect – Professional or Associate, or Certified Generative AI Developer
Added 5 mins ago
Java Full Stack Software Engineer - Mid Level
United Services Automobile Asn
United States
Understanding of one or more of the following: Java, JavaScript, C++, HTML, CSS, SQL, and Python
Added 8 mins ago
K
AI/Automation Engineer
Kforce
Minnetonka, MN
- $60 to $90 USD / hour
…modern AI models, agent architectures, cloud infrastructure, and developer tooling. The AI/Automation Engineer will operate with high autonomy, turn ambiguous business and technical…
Added 10 mins ago
Lead Engineer, AI Platform
Marketing Associates, LLC
United States
Experience building and operating 24x7, multi-region enterprise SaaS platforms on AWS, Google Cloud, or Azure, including infrastructure as code and disaster recovery planning.
Added 11 mins ago
RH
AI Engineer
Robert Half
Memphis, TN
- $120,000 to $130,000 USD / year
Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.
Added 11 mins ago
RH
Data Engineer
Robert Half
Memphis, TN
- $100,000 to $120,000 USD / year
Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.
Added 11 mins ago
RH
Data Engineer
Robert Half
Nashville, TN
- $62 to $71 USD / hour
Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.
Added 11 mins ago
RH
Systems Engineer
Robert Half
Nashville, TN
- $45 to $52 USD / hour
Infrastructure Maintenance: Administer and maintain Windows and/or Linux servers, virtualization platforms (e.g., VMware, Hyper-V), and cloud-based services (e.g., Azure, AWS).
Added 11 mins ago
RH
Cybersecurity Engineer
Robert Half
Nashville, TN
- $65 to $76 USD / hour
Cloud Security: Secure cloud environments including Microsoft Azure, AWS, or Google Cloud Platform by implementing best practices and security controls.
Added 11 mins ago
RH
AI Engineer
Robert Half
Little Rock, AR
- $130,000 to $150,000 USD / year
Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.
Added 11 mins ago
RH
Data Engineer
Robert Half
Little Rock, AR
- $100,000 to $120,000 USD / year
Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.
Added 11 mins ago
RH
AI Software Engineer
Robert Half
Nashville, TN
- $80 to $95 USD / hour
Software Engineering: Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.
Added 11 mins ago
Software Development Engineer
Mesa Labs
Remote, United States
Write clean, maintainable, and efficient code in Go, Python, JavaScript, and TypeScript.
Added 12 mins ago
IG
Automation Data Engineer (100% Remote)
Insight Global
Remote, United States
- From $68 USD / hour
Proficiency with Python and SQL, including writing, troubleshooting, and optimizing complex data-processing logic
Added 13 mins ago
Cloud Engineer: Cleared position
Belay Technologies
Chantilly, VA
Belay Technologies is seeking a Cloud Engineer with strong hands-on experience in AWS cloud infrastructure, DevOps and MLOps to join our engineering team. The ideal candidate will have…
Added 13 mins ago
AI Security Software Engineer
The Elevance Health Companies, Inc.
United States
Software Engineering: Strong Python development skills, including experience building REST APIs using FastAPI, Flask, Django, or similar frameworks. Familiarity with asynchronous…
Added 13 mins ago
Senior AI Engineer
Humana Inc.
Louisville, KY · Washington, DC · NY · Tampa, FL · Boston, MA · Dallas, TX
Experience with at least one major AI platform or model provider such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
Added 15 mins ago
T
Practice Architect II-AI/ML - REMOTE
TEKsystems
Atlanta, GA
- $156,000 to $234,000 USD / year
…latency instrumentation Cloud-agnostic delivery: portable across AWS, Azure, and GCP rather than tied to one provider's managed AI services Stack: Python and TypeScript/Node, strong SQL,…
Added 16 mins ago
Staff Software Engineer
Shipwell
Remote, United States
Deep expertise in at least one modern language (e.g., Python / Django).
Added 17 mins ago
R
Principal DevOps Software Engineer
RapidAI
Remote, United States
- $175,000 to $240,000 USD / year
Architect and operate AWS environments, including networking, security controls, and cost optimization
Added 17 mins ago
AI Developer Intern
Trimble Inc.
CO · OH
AI Developer Intern, Artificial Intelligence Intern, Machine Learning Intern, Generative AI, Python Developer, LLM Integration, Agentic AI, Enterprise AI, Dayton Ohio Jobs
Added 17 mins ago
AI Developer Intern
Trimble Inc.
OH · CO
AI Developer Intern, Artificial Intelligence Intern, Machine Learning Intern, Generative AI, Python Developer, LLM Integration, Agentic AI, Enterprise AI, Dayton Ohio Jobs

Vantor Services Inc.

Junior Data Engineer (TS/SCI)

Herndon, VA, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters - where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

We are seeking a motivated, technically capable Junior Data Engineer to support the development, integration, operation, and maintenance of a large-scale data analytics platform supporting a U.S. Government customer. The successful candidate will work as part of a multidisciplinary engineering and analytics team to design, develop, and maintain data pipelines and processing workflows that ingest, transform, integrate, and prepare large volumes of structured and unstructured data for analytical use.

The Data Engineer will contribute to the implementation and optimization of scalable data solutions, support data quality and governance initiatives, and help ensure the reliability, performance, and security of the platform in a mission-focused environment.

Principal Responsibilities:

Data Pipeline Development: Develop, maintain, and troubleshoot data ingestion, transformation, and integration pipelines supporting large-scale data analytics.
Data Processing and Integration: Support the integration and processing of structured, semi-structured, and unstructured data from diverse sources using distributed data processing technologies.
Data Platform Support: Assist with the deployment, configuration, monitoring, and optimization of data engineering components within cloud-based, on-premises, or hybrid environments.
Data Quality and Performance: Implement data validation, quality assurance, and monitoring processes to ensure data accuracy, consistency, availability, and processing efficiency.
Collaboration and Documentation: Work with data scientists, analysts, software engineers, and government stakeholders to translate data requirements into technical solutions; document workflows, processes, and technical designs.

Minimum Qualifications:

Must be a U.S. Citizen with an active TS/SCI clearance (with a willingness to obtain a CI poly).
Bachelor's degree in computer science, information systems, data science, engineering or a related technical field with 1-4 of relevant experience in data engineering, software development, analytics, database administration, or a related technical field. Relevant internships or project experience may be considered.
Demonstrated experience in data engineering, software development, database engineering, or a related technical discipline.
Working proficiency in Python and SQL and/or Elastic, with experience developing scripts, data transformations, and automated data processing workflows.
Experience with relational databases or distributed data processing technologies, and a basic understanding of data modeling, ETL/ELT processes, and data integration.
Willingness to work onsite at least 90% (or as needs dictate).

Preferred Qualifications:

Data engineering platforms and tools such as Apache NiFi, Elasticsearch, PostgreSQL, or OpenShift
Distributed data platforms such as Spark, Hadoop, Kafka, or Hive
Cloud platforms such as AWS, Azure, or Google Cloud
Containers and orchestration with Docker and Kubernetes
Data workflow tools such as Apache Airflow
CI/CD, Git, DevSecOps, or automated testing
Data governance, metadata, lineage, or security
Government, defense, intelligence, or other regulated environments

#cjpost

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$115,000.00 - $155,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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More about this job

Skills

Unstructured data
Amazon Data Pipeline
Troubleshoot
Data analysis
Process data
Data engineering
Quality assurance
Documentation
Computer science
Software development
Database administration
Python
SQL
Data modelling
Elasticsearch
PostgreSQL
Red Hat OpenShift
Apache Spark
Apache Hadoop
Apache Kafka
Apache Hive
AWS
Microsoft Azure
Google Cloud
Docker
Kubernetes
Workflow
Apache Airflow
CI/CD
Git
Test automation

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