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All (604) 🌍 Worldwide (206) 🇺🇸 US (374) 📍 Location-specific (24)

Today

Smile CDR Integration Developer

CAI Remote 🌍 Remote

Remote

Today

$62 - $72/hr Full time APIs Data Engineer Data Integration

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Job Description

Join CAI on a remote short-term contract to build scalable healthcare interoperability integrations using Smile CDR and FHIR-based APIs.

Responsibilities

Design and develop Smile CDR integrations and FHIR-based solutions
Build and maintain Apache Camel routes and integration services
Create and support API integrations with internal and external systems
Develop ETL and data ingestion pipelines using PySpark and Python
Implement scalable healthcare interoperability solutions using HL7 FHIR standards (including FHIR R4)
Consume and publish REST APIs across enterprise platforms
Develop and maintain JavaScript-based Smile CDR modules and automation components
Collaborate with architects and business stakeholders to translate requirements into technical solutions
Support testing, deployment, monitoring, and production support activities
Participate in architecture reviews, code reviews, and technical design sessions
Create technical documentation, data mappings, and integration specifications

Requirements

Minimum 5 years of software development experience with Python/PySpark, Java, JavaScript, Apache Camel, REST APIs, JSON, XML, and SQL
Experience with healthcare interoperability standards (FHIR/HL7)
Experience consuming and developing APIs
Strong understanding of distributed integration architectures
Experience with ETL and data engineering practices

Preferred Qualifications

Smile CDR development experience
HL7 FHIR R4 expertise
CMS Interoperability experience
Prior Authorization, Payer-to-Payer, or Provider Access experience
Databricks experience
Hadoop ecosystem experience
GitLab CI/CD experience
Healthcare payer domain experience

Technologies

Smile CDR
Apache Camel
FHIR APIs, HL7 FHIR, FHIR R4
PySpark, Python
Java, JavaScript
REST APIs, JSON, XML
SQL
ETL
Distributed integration architectures
Databricks
Hadoop ecosystem
GitLab CI/CD

Compensation

USD 62 - 72 per hour

Benefits

Medical, dental, and vision insurance
401k retirement account access
Paid sick leave and/or other paid time off as provided by applicable law

Work Authorization

This position does not offer work authorization sponsorship now or in the future

Physical Demands

Ability to safely perform essential job functions consistent with ADA and other federal, state, and local standards
Sedentary work involving sitting or remaining stationary most of the time, with occasional need to move around the office to attend meetings
Ability to conduct repetitive tasks on a computer using a mouse, keyboard, and monitor

Reasonable Accommodation

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, direct inquiries to application.accommodations@cai.io or (888) 824 - 8111.

EEO

CAI is an equal opportunity employer and prohibits discrimination and harassment based on protected characteristics, including disability and protected veteran status. Retaliation for engaging in protected activity is prohibited.

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Today

SQL Developer / Database Engineer

i4DM Remote 🌍 Remote

Remote

Today

Full time Analytics APIs Automation Developer

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Job Description

Remote SQL Developer / Database Engineer role focused on designing and optimizing SQL databases, data pipelines, and reusable enterprise data products for ATLAS.

Responsibilities

Design, install, configure, maintain, and optimize SQL database systems and related data structures supporting ATLAS.
Develop, maintain, monitor, and troubleshoot ETL/ELT workflows and data pipelines using Azure Data Factory and Synapse Pipelines.
Integrate structured and unstructured data from databases, APIs, cloud platforms, and other enterprise sources into Azure Data Lake Service.
Create and optimize complex SQL queries, stored procedures, and database objects for data conditioning and curation.
Use Databricks and Starburst to query, transform, and integrate distributed data across lakehouse and enterprise data sources.
Investigate data discrepancies, pipeline failures, and performance issues; perform root-cause analysis and implement durable fixes.
Apply data-quality controls and support metadata management and data cataloging with Collibra.
Monitor database and pipeline performance; perform query tuning, indexing, backup, recovery, patching, and reliability improvements.
Support secure, consistent, and compliant access to enterprise data using appropriate identity, authorization, and data-protection controls.
Collaborate with data engineers, analysts, data scientists, and product teams to create consumable data products and enable Azure ML/AI services.
Support reporting and visualization needs using Pyramid Analytics and Power BI, including validation of underlying data structures and accuracy.
Translate business requirements into technical specifications and communicate solutions to technical and non-technical stakeholders.
Document database structures, data mappings, pipelines, operational procedures, and technical decisions.
Participate in Agile/Scrum ceremonies and support continuous improvement of ATLAS data services.

Requirements

Minimum five (5) years of experience in database development, administration, and maintenance.
Strong experience with Microsoft SQL Server, including complex SQL, stored procedures, database design, indexing, optimization, and performance tuning.
Experience developing and troubleshooting data integrations, ETL/ELT processes, and SSIS packages.
Hands-on experience creating, updating, monitoring, and troubleshooting Azure Data Factory and Synapse Pipelines.
Experience with Databricks, Starburst, Azure Data Lake Service, and distributed or large-scale datasets.
Experience with Collibra for data cataloging, metadata management, or data governance.
Experience supporting Azure ML/AI services and preparing reliable data for analytics or machine-learning use cases.
Experience supporting Pyramid Analytics and Power BI visualization solutions and validating source data.
Excellent troubleshooting and root-cause analysis skills.
Ability to understand business requirements and translate them into technical specifications.
Excellent written and verbal communication skills, including the ability to communicate technical details to non-technical users and stakeholders.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.

Technologies

SQL Server
Azure Data Factory
Synapse Pipelines
Databricks
Starburst
Azure Data Lake Service
Collibra
Azure ML/AI services
Pyramid Analytics
Power BI
SSIS
Agile/Scrum

Preferred Qualifications

Experience supporting federal agencies, the Department of Veterans Affairs, or other regulated environments.
Experience with enterprise data lakes, lakehouses, Delta Lake, Parquet, and multi-cloud data integration.
Experience working independently and collaboratively within Agile data-product teams.

Location: Remote

Experience level: 5+ years

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Today

Senior AI-Augmented Software Engineer

Flexera Software, Inc. Remote 🌍 Remote

Remote

Today

Full time Ai Coding Agents APIs Artificial Intelligence

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Job Description

Flexera is hiring a motivated Senior AI-Augmented Software Engineer for an AI-first, small autonomous team model, delivering production software with AI coding agents as part of the daily development workflow.

Responsibilities

Implement product features, APIs, integrations, internal tools, and engineering improvements using the team’s technology stack
Translate requirements and technical designs into small, well-defined implementation tasks
Use AI coding agents to accelerate implementation, explore alternative solutions, generate tests, and improve existing code
Contribute across the software development lifecycle: requirements clarification, design, implementation, testing, deployment, and support
Deliver working software in small increments and incorporate feedback quickly
Own assigned features from initial understanding through production readiness
Use approved AI engineering tools in everyday work, including Claude Code and OpenAI Codex
Provide AI agents with clear objectives, relevant repository context, constraints, and acceptance criteria
Break larger tasks into manageable steps and coordinate multiple AI-assisted tasks when appropriate
Review generated code for correctness, readability, security, performance, and alignment with existing architecture
Spot AI hallucinations, incorrect assumptions, unnecessary complexity, and subtle defects
Use AI to investigate unfamiliar codebases, understand errors, explain complex logic, and speed up learning
Improve workflows by capturing reusable instructions, documenting discoveries, and sharing effective techniques with teammates
Write and maintain unit tests, integration tests, and other appropriate automated checks
Reproduce bugs, identify root causes, and implement durable fixes instead of superficial workarounds
Validate AI-generated code against explicit requirements and expected behavior
Participate in code reviews and respond constructively to feedback
Use automated testing, linting, type checking, and CI/CD pipelines to catch issues early
Follow established security practices and avoid exposing credentials, sensitive information, or production data to unauthorized tools
Help maintain clear documentation and understandable code other engineers can confidently modify
Communicate progress, risks, and blockers early on owned features and technical improvements
Work with the team lead to clarify requirements and make appropriate technical decisions
Collaborate with teammates to review implementations, investigate problems, and share knowledge
Ask thoughtful questions, challenge questionable assumptions, and suggest simpler or better solutions
Participate in technical discussions and contribute ideas that improve the product and development process
Gradually take responsibility for larger features and make more decisions independently as skills develop
Build strong foundations in software design, debugging, testing, security, and system architecture
Learn how to use AI effectively without becoming dependent on code that cannot be explained or maintained
Explore new tools and techniques that improve quality and efficiency of software delivery
Share lessons learned from successful implementations, failed experiments, and production issues
Develop skills to become an independent engineer capable of owning increasingly complex systems

Requirements

Foundational programming experience through professional work, internships, academic projects, or substantial personal projects
Working knowledge of at least one programming language relevant to the team’s technology stack
Understanding of core software engineering concepts: data structures, control flow, APIs, debugging, and version control
Familiarity with Git and collaborative development practices
Ability to break problems into smaller steps, investigate unfamiliar concepts, and learn new technologies independently
Interest in using AI tools to improve software development, including willingness to learn effective prompting, context management, and code validation
Strong analytical thinking and attention to detail
Clear communication skills and ability to ask for help when needed
Sense of ownership, intellectual curiosity, and commitment to delivering reliable software

Technologies

Claude Code
OpenAI Codex
Git
GitHub Copilot
CI/CD
Linting
Type checking

Preferred Qualifications

Hands-on experience with AI coding tools such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable agentic development tools
Experience building applications, APIs, integrations, automation scripts, or other working software
Familiarity with automated testing, CI/CD, cloud platforms, containers, or relational databases
Experience reading, debugging, and extending an existing codebase rather than working exclusively on greenfield projects
Examples of using AI to build a project, solve a difficult technical problem, or improve an existing implementation
Interest in learning multiple layers of the application stack and contributing beyond narrowly defined coding tasks

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Today

Full Stack Software Engineer, Support Operations

Clickhouse United States 🇺🇸 Remote

United States

Today

$154k - $215k/yr Full time Backend Developer Marketing API Integrations

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Job Description

Build full-stack systems that improve how ClickHouse customers get help, from routing and automation to AI-assisted experiences and production observability.

Responsibilities

Design and develop the systems that connect ClickHouse customers with the teams that support them.
Create intelligent routing and decision systems that choose where work goes and who handles it using many signals at once.
Ensure routing and decision systems adapt as the business scales.
Develop AI-powered customer experiences that understand needs, recommend next steps, and know when to hand off to a human.
Build internal platforms and tooling for Support, RevOps, and GTM teams to help them work faster and more accurately, with production-quality standards.
Implement integrations and data flow across Salesforce, live chat, incident management, Slack, GitHub, and more to keep workflows and data moving cleanly between systems.
Create automation and observability systems to remove repetitive work, highlight what is breaking, and improve confidence in what teams are running.
Partner with core Engineering to ship to production and take ownership of delivered work, including code review, testing, monitoring, and continuous improvement.

Requirements

3–5 years building and shipping full-stack software in production.
Experience with tools such as TypeScript/JavaScript, Node.js, and React (or comparable technologies).
Hands-on experience with APIs, webhooks, and integrations between distributed systems.
Experience close to support workflows, including work as a support or technical support engineer, or building tools or integrations for support, CS, or RevOps teams.
Comfort with Git and safe, version-controlled deployment workflows.
Ability to translate operational needs into solutions that non-engineers can follow.
Self-driven, end-to-end ownership mindset in a remote, globally distributed team.
Day-to-day comfort using AI tools while building, with clarity on where to trust AI outputs.

Technologies

TypeScript
JavaScript
Node.js
React
APIs
Webhooks
Git
Salesforce
Slack
GitHub

Benefits

Employer contributions towards healthcare.
Stock options for every new team member.
Flexible time off in the US; generous entitlement in other countries.
USD $500 home office setup for remote employees.
Opportunities to connect with colleagues at company-wide offsites.

Bonus Points

Experience building LLM-powered features in production (routing, retrieval, evaluation, or observability).
Salesforce platform experience (Apex, LWC, Flows, custom objects) or relevant certifications, or strong appetite to get up to speed quickly.
Support and incident tooling experience: Pylon, incident.io, PagerDuty, Zendesk, Slack APIs, GitHub APIs.
Experience with ClickHouse or other analytical databases.
Experience in an early-stage or greenfield environment, or embedded in a support, RevOps, or business-systems function.

Perks

Flexible work environment: ClickHouse is globally distributed and remote-friendly, operating in over 25 countries.
Healthcare employer contributions.
Equity via stock options for new hires.
Flexible time off in the US and generous entitlement internationally.
USD $500 home office setup for remote employees.
Global gatherings with opportunities to attend company-wide offsites.

Culture

As part of a rapidly scaling startup, you will help shape culture.

Location: United States (remote)

Compensation: USD 154,000 - 215,000 per year

Experience level: 3+ years

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Today

Future Software Engineer

ImageTrend Eagan, MN 🇺🇸 Remote

Eagan, MN

Today

$70k - $160k/yr Full time Ai Assisted Development APIs Artificial Intelligence

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Job Description

ImageTrend is building a continuing talent pipeline for experienced Software Engineers as its Software Engineering team plans for sustained growth. This role supports ongoing product development, with engineering practices that emphasize validation, verification, and production readiness while using AI-enabled tools.

This position is based in Eagan, MN and can be performed 100% virtually anywhere in the US, in line with ImageTrend’s remote work policy.

What you’ll do

Use AI-enabled development tools together with strong engineering practices to build production-ready software, partnering with Product, UX, and engineering peers to deliver scalable solutions with appropriate validation and verification.
Apply engineering expertise to challenge and refine solutions, combining research, engineering judgment, and AI-assisted development to meet technical requirements and business goals.
Collaborate across the software development lifecycle with Product, Engineering, Quality, UX, and other cross-functional partners.
Apply software engineering principles covering architecture, coding standards, automated testing, security, performance, reliability, scalability, and maintainability.
Critically evaluate AI-generated and human-authored code using engineering judgment, code review, automated testing, and other verification methods to identify risks and ensure requirements and standards are met.
Use modern development practices and technologies, including source control, automated testing, CI/CD, cloud platforms, and production monitoring and troubleshooting.
Evaluate emerging technologies, tools, frameworks, and engineering approaches that can improve product capabilities, engineering efficiency, developer productivity, and customer experiences.
Troubleshoot complex technical and production issues, improving application performance, scalability, reliability, and overall quality.
Contribute to technical documentation, knowledge sharing, and engineering standards across teams.
Depending on experience and level, contribute to solution design, technical direction, mentoring, architectural decisions, and complex cross-team initiatives.
Travel to orientation, industry or company events, or other onsite meetings as required.
Perform additional duties or tasks as assigned.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, a related technical field, or an equivalent combination of education and relevant experience.
Demonstrated software engineering experience building solutions, including practical experience using AI coding assistants such as GitHub Copilot or equivalent development tools, preferably within a SaaS or technology organization. Experience in public safety, healthcare, or GovTech is considered a plus.
Working proficiency with C#/.NET, SQL/SQL Server, TypeScript, React or Angular, Python, or comparable modern languages, frameworks, and technologies (depth varies by role level).
Demonstrated ability to use AI effectively across coding, testing, debugging, documentation, and software design, while validating AI-assisted outputs using human judgment.
Ability to critically evaluate AI-generated code and understand common limitations of generative AI, including incorrect assumptions, fabricated or nonexistent APIs, insecure implementations, and insufficient domain context.
Ability to structure engineering work so AI-assisted and AI-generated outputs can be independently verified against defined requirements and standards for security, performance, scalability, reliability, and quality.
Experience with APIs, automated testing, source control, CI/CD, cloud platforms, and production troubleshooting.
Understanding of software architecture and application design principles, including security, performance, scalability, reliability, testing, and maintainability.
Strong problem-solving, time management, attention to detail, communication, and technical aptitude.
Ability to analyze complex technical challenges and develop practical, scalable solutions.
Ability to collaborate effectively with both technical and non-technical partners.
Demonstrated continuous improvement and growth mindset, with the ability to learn and apply emerging technologies while balancing innovation with sound engineering judgment.
Ability to maintain discretion when handling proprietary and confidential information.
Strong work ethic, integrity, honesty, collaboration, and team orientation.
Ability to travel as required, up to 10%.

Technologies

GitHub Copilot
C#, .NET
SQL, SQL Server
TypeScript
React
Angular
Python
APIs
CI/CD
Cloud platforms
Source control

Compensation and eligibility

Annual base salary range: $70,000 - $160,000 USD for this full-time role.
Compensation includes bonus plus benefits, perks, and community gains.
E-Verify participation to validate employee Form I-9 documentation.

Remote work policy and application deadline

100% virtual role anywhere in the US while following the Remote Work Policy.
Deadline to apply is at least 3 days after the posting date listed.

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1d ago

EC/TCTO Developer

Cherokee Federal United States 🇺🇸 Remote

United States

1d ago

$95k - $105k/yr Full time Engineering Engineering Change Management Engineering Change Requests

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Job Description

Cherokee Federal is seeking an EC/TCTO Developer to support the U.S. Coast Guard C5ISC. In this remote role based in the United States, you will help manage engineering change (EC) and Time Compliance Technical Order (TCTO) implementation and documentation workflows, coordinating with teams across engineering and logistics to keep technical records organized and current.

Responsibilities

Follow Coast Guard Surface Forces Logistics Center (SFLC) EC/TCTO procedures and provisioning processes to produce required documentation for recommended changes as directed by the COR.
Use the Coast Guard Standard Workstation III or a contractor computer to receive, process, and track field-generated Engineering Change Requests/Proposals (ECRs) and CG-22 entries via the SFLC shard hard drives or its web-based successor as directed by the COR.
Create and maintain project case files for ECRs, CG-22s, ECs, and the resulting TCTOs as directed by the COR.
Prepare ECs/TCTOs and related documentation for review and comment as directed by the COR.
Support EC/TCTO Development Team (ECDT) activities by assisting with planning, attending, and actively participating in meetings assigned by the COR.
Create provisioning case files and their web-based successor for new supply items that support EC activity, as directed by the COR.
Assist with development and management of Plan of Action and Milestones (POAM) as directed by the COR.
Coordinate development team and other technical or logistics meetings needed for normal EC/TCTO and logistics support development as directed by the COR.
Gather requirements data from Cutters, other Product Branches, SFLC Engineering Services Division, and other Coast Guard units as directed by the COR to support EC requirements for various platforms.
Collect provisioning and other technical data for assigned equipment from vendors as directed by the COR.
Assist with organizing and attending platform team meetings as directed by the COR.
Perform administrative support tasks related to EC/TCTO development as assigned by the COR.
Complete other job-related duties as assigned.

Requirements

Minimum two-year experience providing U.S. Coast Guard (USCG) entities with ELEX EC/TCTO Development for Coast Guard (CG) Assets.
Experience with Field Changes, Engineering Changes, and TCTOs.
Ability to obtain a Common Access Card (CAC).
Proficiency using Naval Electronic Supply Support System (NESSS), Fleet Logistic System (FLS), and CGMS as applicable to TCTOs/ECs.
Strong writing skills using applicable documentation resources.
Knowledge of Microsoft Power Point, Word, and Excel.
Ability to pass a federal background check and drug screen.
Must have a valid Secret clearance.
Must pass pre-employment qualifications of Cherokee Federal.
Must be a U.S. Citizen.
This position requires an active Secret clearance.
Due to a government contract, this role is restricted to U.S. citizens or legal permanent residents; documentation is required to qualify.
Prolonged desk sitting and computer work; occasional standing or moving about the office for extended periods may be required.

Technologies

Coast Guard Standard Workstation III
Naval Electronic Supply Support System (NESSS)
Fleet Logistic System (FLS)
CGMS
Microsoft Power Point, Microsoft Word, Microsoft Excel
Plan of Action and Milestones (POAM)

Benefits

Up to a 6% 401(k) company match
Paid time off
Medical, dental, and vision insurance, plus prescription drug coverage
Basic life and AD&D insurance, with supplemental life options
Short-term and long-term disability coverage
Paid holidays
Employee Assistance Program (EAP)
Flexible Spending Account (FSA) and Health Savings Account (HSA) options
Professional development, training, and certification support
Voluntary benefits including accident, critical illness, and identity theft protection

Location: United States (remote). Compensation: USD 95,000 - 105,000 per year. Experience: minimum 2 years. Supervisory responsibilities: none. Work environment: primarily climate-controlled.

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1d ago

FLEX Software Engineer, Conversational AI and Intelligent Search

Marriott International, Inc Bethesda, MD 📍 MD Remote

Bethesda, MD

1d ago

$41 - $69/hr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Temporary FLEX Software Engineer role focused on production conversational AI and intelligent search capabilities for Marriott experiences.

Responsibilities

Design, build, test, deploy, and operate production-grade conversational AI applications, intelligent search experiences, and AI agents.
Create multi-turn conversational workflows including agent routing, structured tool calling, memory, and context management.
Deliver retrieval-augmented generation and intelligent search solutions using embeddings, vector retrieval, hybrid search, reranking, and grounding techniques.
Integrate AI solutions with internal APIs, search platforms, databases, model providers, and external services.
Develop scalable backend services including APIs, streaming interfaces, asynchronous workflows, and event-driven processing.
Implement prompt management and model configuration, including structured outputs, safety guardrails, and secure authentication and authorization.
Apply secure data-handling practices while improving accuracy, grounding, relevance, personalization, latency, scalability, and cost efficiency using measurement and iterative engineering.
Build and maintain unit, integration, contract, end-to-end, and automated regression tests for AI applications and supporting services.
Partner with Quality Engineering to define evaluation datasets, release-quality thresholds, and repeatable AI evaluation and experimentation practices.
Implement logging, metrics, distributed tracing, alerting, dashboards, and production diagnostics using OpenTelemetry and application-performance monitoring platforms.
Troubleshoot complex production issues across models, prompts, application code, infrastructure, data stores, and downstream dependencies, including root-cause analysis.
Contribute to architecture reviews, code reviews, release planning, CI/CD implementation, progressive delivery, and production support.
Evaluate emerging generative AI technologies and make pragmatic architecture and implementation decisions aligned with business, security, reliability, and operational needs.
Collaborate across Product, Engineering, Quality Engineering, Security, Platform, and Operations to deliver inclusive, accessible, high-traffic customer experiences.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field, or high school diploma/GED with 4 additional years of professional experience.
2+ years of professional software engineering experience.
Programming experience in Python, Java, JavaScript, TypeScript, or a comparable language; experience building and operating production backend services and APIs.
Experience building cloud-native applications including containers, Kubernetes, distributed systems, and automated CI/CD pipelines.
Hands-on experience delivering generative AI, conversational AI, intelligent search, retrieval-augmented generation, or agent-based applications, including model APIs, prompt engineering, tool calling, structured outputs, embeddings, retrieval, context management, testing, observability, secure development, and sensitive-data handling.

Preferred Qualifications

Experience building multi-agent or workflow-orchestrated AI systems using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, Temporal, or comparable tools.
Experience with vector databases, hybrid search, reranking, retrieval optimization, AI evaluation, LLM-as-judge patterns, experimentation, latency and token optimization, caching, and cost management.
Experience with responsible AI practices including prompt-injection defenses, content safety, and red-team testing, plus observability with OpenTelemetry and application-performance monitoring; canary deployments, feature flags, progressive delivery, and localized accessible high-traffic customer applications.

Technologies

Python, Java, JavaScript, TypeScript
Kubernetes, CI/CD, containers
Retrieval-augmented generation, embeddings, vector retrieval, hybrid search, reranking
OpenTelemetry, application-performance monitoring platforms
LangChain, LlamaIndex, Semantic Kernel, AutoGen, Temporal
Vector databases
LLM-as-judge patterns, caching
Prompt-injection defenses, content safety, red-team testing
Feature flags, progressive delivery, canary deployments

Location and Employment Details

Location: Bethesda, MD, United States (remote)
Full-time schedule
Located Remotely: Y
Job Number: 26123873
Job Category: Information Technology
Location Address: 7750 Wisconsin Avenue, Bethesda MD 20814, United States
Pay Range: $41.97-$69.23 per hour
Position Type: Management
Temporary position: Assignment through September 11, 2027
Expiration Date: 11/10/2026

Benefits

401(k) plan
Stock purchase plan
Discounts at Marriott properties
Commuter benefits
Employee assistance plan
Childcare discounts
Medical, dental, vision
Health care flexible spending account
Dependent care flexible spending account
Life insurance
Disability insurance
Accident insurance
Adoption expense reimbursements
Paid parental leave
Washington Applicants Only: employees accrue paid sick leave; 0.0384 PTO balance for every hour worked; eligible to receive minimum of 9 holidays annually

Marriott Headquarters (HQ) supports hybrid work for HQ-based roles, generally requiring regular in-office presence at the assigned location; remote roles are clearly identified in the posting.