Redbeard Solutions

32 Redbeard Solutions Data Jobs Hiring Near You

Data Engineer

Boston, MA

$165K - $175K/yr

Secret (prefer TS) Position Summary We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This ...

Data Engineer

Chicago, IL

$165K - $175K/yr

Secret (prefer TS) Position Summary We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This ...

Software Delivery Specialist

New York, NY · On-site

$140K - $144K/yr

... data pipelines, and application logic, while also contributing to frontend or workflow-layer development as needed. As part of your solution engineering responsibilities, you will architect modular ...

Full Stack Engineer

Boston, MA · On-site

$185K - $195K/yr

Secret (prefer TS) Role Overview We are looking for a seasoned Full Stack Engineer to contribute to the development of a next-generation AI platform powering advanced, data-driven solutions. This ...

... solutions to enhance ICAM service adoption throughout the customer agency * Execute analysis of ... Experience with disaster recovery (ITDR) and data retention * Experience as a systems engineer or ...

New

This solution will act in support of an existing identity, credential, and access management (ICAM ... Resolve installation, infrastructure, data flow, and log ingest issues in both development and ...

This solution will act in support of an existing identity, credential, and access management (ICAM ... Resolve installation, infrastructure, data flow, and log ingest issues in both development and ...

Tech Lead - Software Engineer

Boston, MA · On-site

$205K - $215K/yr

Leverage modern large language models (LLMs) for data processing, retrieval, and synthesis * Identify technical risks and proactively implement solutions to ensure system reliability and scalability

AWS DevOps Platform Engineer

Charlotte, NC · Remote

$47 - $64.25/hr

Build and automate deployment pipelines and infrastructure-as-code solutions. * Monitor system ... Experience with distributed systems and large-scale data platforms. * Familiarity with compliance ...

New

next page

Showing results 1-20

Redbeard Solutions Jobs Information

What are the most popular job types at Redbeard Solutions?
    What are the most popular categories at Redbeard Solutions?
    Infographic showing various Data job openings at Redbeard Solutions in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

    $165K - $175K/yr

    Other

    Posted 14 days ago


    Job description

    Job Title: Data Engineer - AI Platform

    Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC

    Number of openings: 1

    Experience: 5+ years of professional experience as a data engineer

    Salary: $165,000 - $175,000

    Clearance: Secret (prefer TS)

    Position Summary

    We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge initiatives involving generative AI, large-scale data systems, and cloud-native architectures.

    You will partner with a multidisciplinary team of engineers, data scientists, and product stakeholders to design and implement scalable data infrastructure. The primary focus will be enabling platform capabilities tailored for government and defense-related environments.

    Key Responsibilities
    • Design and build robust data ingestion and processing pipelines to support AI and GenAI applications

    • Develop and maintain high-quality Python-based data workflows, including testing and validation

    • Collaborate with cross-functional teams including software engineers, data scientists, and UI/UX designers

    • Implement and enhance CI/CD pipelines (including GitHub Actions) to streamline deployment and integration processes

    • Work across multi-cloud environments (AWS primarily; exposure to Azure and GCP is beneficial)

    • Utilize containerization technologies (Docker) to support scalable and portable deployments

    • Contribute to the development and optimization of data systems used by generative AI applications

    • Ensure performance, reliability, and scalability of data pipelines through monitoring and diagnostics

    What You'll Experience
    • Opportunity to work on high-impact AI platform initiatives

    • A fast-paced, performance-driven environment with strong technical mentorship

    • Continuous learning through structured development programs and real-world problem solving

    • A collaborative culture that values innovation, ownership, and diverse perspectives

    • Exposure to globally distributed teams and modern engineering practices

    • Competitive compensation along with a comprehensive benefits package

    Required Qualifications
    • U.S. Citizenship is required

    • Prior experience supporting defense or government environments, including handling classified or sensitive data

    • Active Secret clearance required (Top Secret or higher preferred)

    • 5+ years of experience in data engineering, with a strong focus on cloud-based solutions

    Technical Skills & Expertise
    • Strong proficiency in Python for data engineering and pipeline development

    • Hands-on experience with AWS-based data engineering (experience with Azure or GCP is a plus)

    • Deep understanding of data modeling, data ingestion frameworks, and pipeline architecture

    • Experience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databases

    • Expertise in writing clean, maintainable, and testable code, including automation and error handling best practices

    • Practical experience with Docker and containerized workflows

    • Strong background in data pipeline performance tuning, monitoring, and troubleshooting

    • Excellent analytical and problem-solving capabilities

    • Effective communication skills and ability to collaborate within cross-functional teams