We’re looking for a talented and ambitious backend engineer with 5+ years of experience in developing distributed pipelines who’s excited to solve one of the toughest challenges in healthcare—financial data interoperability.
Compensation
The base pay range for this role is $150,000–$275,000 per year.
Responsibilities
Drive the architecture, design, and implementation of complex pipelines for AI agents and data ingestion sources
Develop and scale our data integration infrastructure to connect seamlessly with a variety of healthcare systems
Solve interoperability challenges to help healthcare practices recover lost revenue and understand their financial health
Work closely with the engineering and product teams to improve onboarding speed and build a robust data strategy
Actively contribute to building the team’s architectural vision and technical roadmap
Drive key decisions across operations, build forecasting models, and provide analytical insights to support staffing, scheduling, and strategic growth for a mobile dental care company.
Compensation
Enjoy a competitive base salary of $120,000-$130,000 annually
Responsibilities
Own and architect models and insights for operations leadership
Write complex SQL reports and automate workflows with Python
Build and maintain forecasting, staffing and resource allocation models
Develop operational workflows and ad-hoc analyses
Translate data into persuasive narratives for executive audiences
Requirements
Bachelor's degree in business, economics, operations, data analytics, or a related quantitative field
Senior platform DevSecOps engineer responsible for designing, building, and securing AWS cloud architectures for Air Force and Department of Defense missions.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Design secure AWS architectures and develop Infrastructure as Code
Build and maintain CI/CD pipelines with automated testing, security checks, and releases
Manage and harden containerized workloads, implement identity and access controls
Implement logging, monitoring, and alerting; support vulnerability remediation
Translate cybersecurity requirements into automated controls and support RMF and ATO activities
Requirements
Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or Engineering
Join us as a data scientist to use your analytical skills to improve our business, turning complex data sets into useful information to solve global challenges, and help clients make informed decisions.
Compensation
The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized).
Responsibilities
Work closely with customers to understand their questions and needs
Dig into data-rich environments to find information puzzles
Apply analytical skills and use a combination of tools and frameworks to turn disparate data points into objective answers
Provide customers with a deep understanding of their data and how to use it
Design, develop, and deliver production-grade agentic AI systems that leverage generative AI, large language models, and autonomous workflows.
Compensation
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).
Responsibilities
Architect modular, reusable AI application patterns
Integrate multiple model providers such as cloud-hosted, local, and hybrid
Apply modern GenAI stack capabilities including structured prompting, tool use, workflow orchestration, and multi-modal reasoning
Design solutions deployable across various contexts optimizing for latency, cost efficiency, observability, and safety
Prototype and iterate using AI-assisted development tools
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