UX Data Researcher (Contract Position)

📍 Job Overview

Job Title: UX Data Researcher (Contract Position)

Company: HTX Labs

Location: Remote (United States)

Job Type: CONTRACTOR

Category: Data & Analytics / Engineering / UX Research

Date Posted: 2026-02-12

Experience Level: 5+ Years

Remote Status: Fully Remote

🚀 Role Summary

• This is a hybrid role blending UX research, data architecture, and full-stack analytics engineering, focused on customer-embedded solution delivery.

• The position requires a strong ability to understand mission-critical problems within the DoD and enterprise training ecosystems.

• Candidates will architect scalable data and analytics systems, deploy XR-enabled capabilities, and deliver solutions with measurable outcomes.

• The role involves rapid prototyping, integration with Product, Engineering, and Design teams, and surfacing patterns to shape product evolution.

📝 Enhancement Note: The title "UX Data Researcher" is a bit of a misnomer given the extensive data engineering and full-stack analytics responsibilities described. This role is more accurately described as a "Forward Deployed UX Data Engineer" or "Customer-Embedded Analytics Engineer," emphasizing the blend of research, data systems, and direct customer delivery. The "Contract Position" status suggests a project-based engagement with a defined scope and duration.

📈 Primary Responsibilities

• Customer-Embedded Delivery: Embed directly with customer teams to deeply understand mission needs, existing workflows, and critical success criteria for training solutions.

• Technical Ownership: Own the end-to-end technical delivery of solutions, from initial prototype development through to stable production deployment across multiple customer sites.

• Solution Scoping and Execution: Scope, sequence, and execute high-leverage technical work to drive tangible, measurable value for customers.

• Cross-Functional Clarity: Provide clear communication and alignment across customer stakeholders and internal HTX Labs teams (Product, Engineering, Design) to ensure momentum and shared understanding.

• Data Architecture & Systems Design: Design, build, and maintain scalable data systems specifically tailored to support XR training applications and user data.

• Analytics Platform Integration: Integrate and manage analytics platforms to continuously monitor system performance and real-time user behavior.

• KPI and Metrics Definition: Define Key Performance Indicators (KPIs), success metrics, and robust data collection strategies that directly align with product goals and customer objectives.

• Advanced Data Analysis: Apply machine learning, predictive analytics, and sophisticated data modeling techniques where beneficial to extract deeper insights and enhance functionality.

• AI System Evaluation Data: Create curated datasets from user-driven insights and workflows to facilitate rigorous evaluations of AI system performance.

• Multi-Agent Workflow Leverage: Utilize multi-agent workflows to gain a deep understanding of diverse customer use cases and effectively articulate the value proposition of HTX Labs' training systems within specific customer domains.

• Data Governance and Security: Ensure strict adherence to data governance, security protocols, and compliance standards across all deployed systems.

• User Research Execution: Conduct comprehensive user research utilizing mixed-methods, including usability testing, surveys, direct analytics observation, and in-depth interviews.

• Insight Synthesis and Translation: Analyze large datasets to identify trends, user behaviors, and opportunities for significant product and UX improvements.

• Actionable Recommendation Generation: Translate research findings, data analysis, and direct customer feedback into clear, actionable recommendations for the Design, Product, and Engineering teams.

• Insight Communication: Build and maintain dashboards, visualizations, and detailed reports to effectively communicate complex insights to both technical and non-technical stakeholders.

• Direct Code Contribution: Contribute directly to production-grade code development using Python, JavaScript, or comparable programming languages as required by project needs.

• Accelerate Future Deployments: Develop reusable tools, standardized playbooks, and robust data frameworks that streamline and accelerate future customer deployments.

• Roadmap Influence: Surface recurring patterns and critical field insights to proactively influence and shape the product and technology roadmap.

📝 Enhancement Note: The responsibilities highlight a deep integration with customers, requiring strong interpersonal skills alongside technical prowess. The emphasis on "prototype to production" and "measurable value" indicates a results-oriented approach. The inclusion of "multi-agent workflows" and "AI system evaluation data" points to advanced analytical capabilities and a focus on the effectiveness of AI/XR training.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a strong foundation in data engineering, analytics, computer science, or a related quantitative field is implied by the experience requirements.

Experience: 5+ years in data engineering, data analytics, software engineering, or technical deployment roles, with a proven track record of delivering complex systems in dynamic environments.

Required Skills:

• Data Engineering & Architecture: 5+ years of experience in data engineering, data architecture, database design, and cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in querying languages (SQL) is essential.

• Full-Stack Analytics: Experience with full-stack analytics engineering, including data integration, ETL/ELT processes, and building robust data pipelines.

• UX Research & Synthesis: Demonstrated ability to conduct mixed-methods UX research (usability testing, surveys, interviews) and synthesize qualitative and quantitative data into actionable product and UX recommendations.

• Technical Delivery & Deployment: Proven experience delivering complex technical systems in fast-paced, ambiguous, or customer-facing environments, moving from prototype to production.

• Data Visualization & Analytics Platforms: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker, Metabase), analytics platforms, and dashboard creation.

• Programming Proficiency: Ability to write or review production-grade code in Python, JavaScript, or a comparable modern programming stack.

• Training Data Systems: Experience with Learning Record Store (LRS), Learning Management Systems (LMS), SCORM, or xAPI, and other training data systems.

• Agile Development: Familiarity with and experience working within agile development processes and methodologies.

• Problem Solving & Ambiguity: Proven ability to thrive in ambiguous situations, create clarity, and make sound, fast decisions.

• Customer Engagement: Experience embedding with customers to understand needs and deliver solutions effectively.

• Communication: Clear and calm communication skills with internal teams, engineers, and external customer stakeholders.

• US Work Authorization: Must be authorized to work in the United States.

Preferred Skills:

• XR & Spatial Computing: Experience with Extended Reality (XR), spatial computing, or immersive training technologies.

• LLM/Generative AI Integration: Experience deploying or integrating systems powered by Large Language Models (LLMs) or generative AI models.

• DoD/Government Environments: Familiarity with Department of Defense (DoD) environments, complex government customer delivery, or enterprise learning ecosystems.

• Machine Learning & Predictive Analytics: Experience with machine learning techniques and predictive analytics.

📝 Enhancement Note: The "Required" skills indicate a senior-level role with a broad technical and functional skillset. The "Preferred" skills are highly relevant to HTX Labs' focus on XR and advanced training technologies, particularly within government sectors. The emphasis on turning research into production systems and embedding with customers is a key differentiator for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data System Architectures: Showcase examples of data systems you've designed, built, and maintained, highlighting scalability, performance, and integration capabilities.

• Analytics & Dashboard Implementations: Present case studies of dashboards and analytical solutions you've created, demonstrating how they provided actionable insights and drove decision-making.

• Full-Stack Project Examples: Include projects where you've been involved in the full lifecycle, from data ingestion and transformation to front-end visualization or application integration.

• UX Research to Product Impact: Demonstrate how your UX research and data analysis directly influenced product improvements or strategic decisions, ideally with quantifiable results.

• Customer-Facing Delivery Projects: Provide examples of technical solutions delivered directly to customers, emphasizing problem-solving, scope management, and successful outcomes.

Process Documentation:

• Workflow Design & Optimization: Examples of how you've mapped, analyzed, and optimized complex data workflows or system processes to improve efficiency and accuracy.

• System Implementation & Automation: Documentation or case studies detailing the implementation of new data systems, analytical tools, or automated processes, including challenges and solutions.

• Metrics and Performance Analysis: Evidence of defining and tracking key performance indicators (KPIs) for data systems or product features, and how you used this data for continuous improvement or evaluation.

📝 Enhancement Note: For a role like this, a portfolio is crucial. It should not only showcase technical skills but also the ability to translate complex data and research into tangible business value, especially in a customer-facing or embedded capacity. The focus should be on impact and problem-solving, not just technical execution.

💵 Compensation & Benefits

Salary Range: $48 - $55 per hour. This translates to approximately $99,840 - $114,400 annually for a standard 40-hour work week, before overtime.

Benefits: As a contractor, benefits are typically provided through a third-party employer or are not included. Specific benefits for this contract role are not detailed in the listing. Standard contractor benefits may include:

• Health, dental, and vision insurance (often through a PEO or the contractor's own arrangement)

• Paid Time Off (PTO) — typically accrued or a set amount for contract duration

• 401(k) options (less common for contract roles unless through a staffing agency)

• Professional development opportunities (less common for short-term contracts)

Working Hours: The role implies a standard 40-hour work week, common for full-time contract positions. However, the "fast-moving" and "customer-embedded" nature may require flexibility and occasional extended hours to meet project deadlines or customer needs.

📝 Enhancement Note: The hourly rate of $48-$55/hour for a remote US-based role with 5+ years of experience in specialized fields like data engineering, UX research, and XR suggests a mid-to-senior level contract position. This rate is competitive for specialized contract work in the US market, especially considering the remote flexibility. Benefits for contractors can vary significantly; candidates should inquire directly about health insurance, PTO, and other potential benefits.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on Extended Reality (XR), Immersive Training, and Data Analytics, serving sectors like Defense (DoD) and Enterprise Training.

Company Size: While not explicitly stated, HTX Labs appears to be a growing technology company, likely a startup or early-stage growth company, given the innovative nature of their products and the "fast-moving" environment described. This implies a dynamic, agile, and potentially less hierarchical structure than a large corporation.

Founded: HTX Labs was founded in 2017, indicating they are established but still in a growth phase, focusing on scaling their innovative solutions.

Team Structure:

• Reporting: The role reports to the Director of Innovation & Design, suggesting a close collaboration with product development, user experience, and forward-thinking initiatives.

• Cross-Functional Integration: The role requires tight integration with Product, Engineering, and Innovation & Design teams, emphasizing a collaborative and agile approach to development and delivery.

• Customer-Facing Teams: The "customer-embedded" nature means close collaboration with client-side teams, requiring strong communication and relationship-building skills.

Methodology:

• Agile Development: The description explicitly mentions experience with agile development processes, indicating a focus on iterative development, flexibility, and rapid response to changing requirements.

• Data-Driven Decision Making: A core tenet appears to be leveraging data analytics, UX research, and user insights to inform product strategy, design, and technical implementation.

• Customer-Centric Innovation: The company culture appears to value understanding and solving real-world customer problems, particularly in high-stakes training environments, through innovative technology.

Company Website: https://htxlabs.com/

📝 Enhancement Note: HTX Labs operates at the cutting edge of XR and AI for training, a sector experiencing significant growth, especially within defense and enterprise. The culture likely fosters innovation, rapid iteration, and a problem-solving mindset, with a strong emphasis on delivering tangible value to clients. The Director of Innovation & Design reporting line suggests a focus on future-proofing and advanced R&D.

📈 Career & Growth Analysis

Operations Career Level: This role sits at a senior individual contributor level, often referred to as a "Forward Deployed Engineer," "Solutions Engineer," or "Technical Consultant." It requires a blend of deep technical expertise (data engineering, analytics, some full-stack development) and strong user-facing skills (UX research, customer engagement). It's a hands-on role for someone who enjoys both building systems and directly impacting customer success.

Reporting Structure: Reporting to the Director of Innovation & Design places this role within a strategic, forward-looking part of the organization. This allows for direct influence on product direction and innovation based on real-world customer feedback and data. The individual will likely work autonomously on customer engagements, reporting progress and insights upwards.

Operations Impact: The impact of this role is significant and multifaceted:

• Customer Success: Directly drives the successful implementation and adoption of HTX Labs' XR training solutions, leading to measurable improvements in customer training outcomes and operational efficiency.

• Product Evolution: Feeds critical user insights, data patterns, and technical challenges back into the Product and Engineering teams, directly shaping the future development roadmap of the EMPACT platform.

• Revenue Generation: By ensuring successful customer deployments and demonstrating value, this role contributes to customer retention, expansion, and the company's overall revenue growth.

• Technical Innovation: Contributes to building reusable tools, frameworks, and best practices that accelerate future deployments and enhance the company's technical capabilities.

Growth Opportunities:

• Specialization: Deepen expertise in XR data analytics, spatial computing, AI/ML for training, or specific DoD/enterprise training verticals.

• Leadership Track: Transition into roles such as Technical Lead, Solutions Architect, or Manager of Customer Engineering/Solutions Delivery as the company scales.

• Product Influence: Become a key voice in product strategy and roadmap planning due to direct customer and data insights.

• Consulting Expertise: Develop advanced consulting and client management skills, becoming a trusted advisor to high-profile clients.

📝 Enhancement Note: This contract role, while potentially short-term, offers significant exposure to cutting-edge technology and high-impact customer engagements. For individuals looking to transition into more permanent roles, successful completion and demonstrated impact can serve as a strong foundation for future opportunities within HTX Labs or the broader XR/GovTech industry. The reporting structure to the Director of Innovation & Design suggests direct mentorship and visibility for strategic contributions.

🌐 Work Environment

Office Type: This is a fully remote position, meaning there is no central office requirement. The "work environment" is primarily the home office of the contractor.

Office Location(s): The position is designated as "Remote (United States)," indicating that candidates must be legally authorized to work in the U.S. and reside within the United States. Specific time zone alignment (e.g., with America/Chicago) might be preferred for collaboration but is not strictly mandated as long as work is performed within U.S. business hours.

Workspace Context:

• Autonomy: Candidates are expected to manage their own workspace, ensuring a professional and productive environment conducive to focused work and client calls.

• Technology Access: Reliable internet connectivity and a suitable personal computing setup will be essential for data analysis, development, and virtual collaboration.

• Collaboration Tools: The role will heavily rely on virtual collaboration tools (e.g., Slack, Zoom, Teams, project management software) for communication with internal teams and customers.

• Customer Site Visits (Potential): While primarily remote, the "customer-embedded" nature might necessitate occasional travel to customer sites, particularly within the DoD and enterprise training sectors, for in-person meetings, deployments, or user engagement. This would need to be clarified with the hiring manager.

Work Schedule: The role is listed as a contractor position, typically implying a 40-hour work week. However, the demands of customer-embedded delivery and rapid prototyping may require flexibility in working hours to accommodate customer schedules or critical project deadlines. Clear communication regarding availability and expectations will be key.

📝 Enhancement Note: The remote nature of this role offers significant flexibility. However, candidates should be prepared for the possibility of occasional travel for customer engagements, a common aspect of "customer-embedded" roles. The emphasis on "fast-moving" and "ambiguous" environments suggests a need for self-disciplined individuals who can manage their own time effectively and proactively communicate their progress and challenges.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess basic qualifications, experience alignment, and interest in the role and company.

2. Technical & UX Assessment: Expect a deep dive into your technical skills (data engineering, architecture, coding) and UX research methodologies. This may involve a technical interview, coding challenge, or a discussion of past projects.

3. Case Study / Portfolio Presentation: A significant portion of the interview process will likely involve presenting a portfolio of relevant work. This could be a dedicated session where you walk through 1-2 key projects, demonstrating your problem-solving approach, technical execution, data analysis, and impact.

4. Customer Empathy & Delivery Scenario: You may be presented with hypothetical customer scenarios to gauge your approach to understanding needs, architecting solutions, and managing delivery in ambiguous or challenging situations.

5. Team & Stakeholder Fit: Interviews with potential team members (e.g., Director of Innovation & Design, Product Managers, Engineers) to assess cultural fit, collaboration style, and communication effectiveness.

6. Final Interview: Likely with senior leadership to discuss overall fit, strategic alignment, and contractual terms.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the problem you solved, the solutions you designed and implemented, and the measurable outcomes (e.g., efficiency gains, performance improvements, user satisfaction increases). Use metrics wherever possible.

• Showcase the "Hybrid" Nature: Highlight projects that demonstrate your ability to blend UX research insights with data architecture and technical implementation. Show how you translated user needs into robust data systems or analytics.

• Detail Your Process: Explain your thought process for data system design, user research methodologies, and technical problem-solving. Be ready to discuss trade-offs and decisions made.

• Coding Samples (Optional but Recommended): If comfortable, include links to GitHub repositories or code snippets that showcase your proficiency in Python or JavaScript, especially if relevant to data manipulation, analysis, or backend development.

• Customer Focus: Emphasize projects where you worked directly with stakeholders or customers, demonstrating your ability to understand requirements, manage expectations, and deliver value.

• Tailor to the Role: Select 1-2 projects that most closely align with the requirements of this specific "UX Data Researcher" / "Forward Deployed UX Data Engineer" role, emphasizing XR, training data, or complex data systems.

Challenge Preparation:

• Scenario-Based Questions: Prepare to answer questions about how you would approach a new customer engagement, diagnose a data-related problem, or design a data system for an XR training scenario.

• Technical Deep Dives: Refresh your knowledge on SQL, Python/JavaScript for data tasks, cloud architecture fundamentals, and common data visualization techniques.

• UX Research Methods: Be ready to discuss your go-to UX research methods and how you translate findings into actionable insights for technical teams.

• Ambiguity Management: Practice articulating how you create structure and make decisions when faced with incomplete information or rapidly changing requirements.

📝 Enhancement Note: The interview process strongly suggests a need for candidates to showcase not just technical skills, but also strategic thinking, problem-solving abilities, and a customer-centric mindset. A well-prepared portfolio that bridges UX research with data engineering is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python, JavaScript (essential for scripting, data analysis, backend development, and potential front-end integration).

• Databases & Querying: SQL (fundamental for database interaction), potentially NoSQL databases depending on the specific data architecture.

• Cloud Platforms: Experience with cloud-based architectures (AWS, Azure, GCP) for data storage, processing, and deployment.

• Data Visualization: Tools such as Tableau, Power BI, Looker, Metabase, or libraries like Matplotlib/Seaborn (Python) and D3.js (JavaScript).

• Analytics Platforms: Experience with web analytics, product analytics, or specialized training analytics platforms.

• Version Control: Git is standard for code management.

• Agile Project Management: Tools like Jira, Asana, Trello, or similar for managing tasks and workflows.

Analytics & Reporting:

• BI Tools: As mentioned above, for creating dashboards and reports.

• Data Warehousing/Lake Concepts: Understanding of how to structure and query large datasets.

• Statistical Analysis Libraries: Libraries within Python (e.g., Pandas, NumPy, SciPy, Statsmodels) or R for deeper analytical work.

CRM & Automation:

• While not explicitly mentioned, experience with CRM systems (like Salesforce) could be beneficial for understanding customer data management, and workflow automation tools might be relevant for streamlining data processes.

• Learning Systems: Specific experience with LRS, LMS, SCORM, and xAPI is a key requirement for understanding the training data ecosystem.

📝 Enhancement Note: The technology stack is broad, reflecting the hybrid nature of the role. Proficiency in Python and SQL for data manipulation and analysis is critical. Experience with cloud infrastructure and data visualization tools is also essential. Familiarity with XR development environments or related SDKs would be a significant advantage, though not explicitly listed as a core requirement.

👥 Team Culture & Values

Operations Values:

• Innovation & Forward Thinking: A culture that encourages exploring new technologies (XR, AI) and applying them to solve real-world problems in training.

• Customer Focus & Impact: A strong emphasis on understanding customer needs deeply and delivering solutions that provide measurable value and drive success.

• Agility & Adaptability: A dynamic environment where teams move quickly, adapt to change, and embrace ambiguity as an opportunity for innovation.

• Data-Driven Decision Making: A commitment to using data, research, and insights to inform strategy, product development, and operational improvements.

• Collaboration & Cross-Functional Synergy: Valuing teamwork across different disciplines (UX, Engineering, Product, Design) to achieve shared goals.

• Problem-Solving & Practicality: A mindset that balances innovative ideas with pragmatic execution and the ability to overcome technical and logistical challenges.

Collaboration Style:

• Embedded & Integrated: The "customer-embedded" aspect necessitates a highly collaborative and integrated approach with client teams, requiring strong communication, empathy, and trust-building.

• Agile & Iterative: Collaboration likely follows agile principles, with frequent check-ins, feedback loops, and iterative development cycles.

• Cross-Disciplinary: Teams are expected to work closely across UX research, data engineering, software development, and product management, fostering a rich exchange of ideas and perspectives.

• Knowledge Sharing: A culture that encourages sharing best practices, learnings, and insights to accelerate team and company growth.

📝 Enhancement Note: The company culture appears to be geared towards high-achievers who are comfortable with cutting-edge technology, fast-paced environments, and direct customer interaction. The blend of research, data, and engineering suggests a team that values both analytical rigor and creative problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Working in fast-paced, evolving environments, particularly within DoD/enterprise training, requires comfort with incomplete information and the ability to create structure and clarity.

• Customer Integration: Successfully embedding within diverse customer organizations requires strong interpersonal skills, adaptability to different cultures, and the ability to build trust rapidly.

• Technical Complexity: Designing and deploying scalable data systems for XR and AI applications presents unique technical challenges related to data volume, real-time processing, and integration.

• Measuring ROI: Quantifying the impact and ROI of XR training solutions can be complex, requiring creative approaches to data collection and analysis.

• Rapid Prototyping to Production: The pressure to move quickly from experimental prototypes to stable, production-grade systems demands efficient workflows and robust engineering practices.

Learning & Development Opportunities:

• XR & Immersive Technology Expertise: Gain deep practical experience with XR, spatial computing, and immersive learning technologies, becoming a specialist in a rapidly growing field.

• Data Science & AI/ML Applications: Enhance skills in applying advanced analytics, machine learning, and potentially generative AI to solve complex training and performance problems.

• Customer & Solutions Consulting: Develop strong client-facing skills, including needs assessment, solution design, implementation management, and stakeholder communication.

• Industry Exposure: Work with high-profile clients in sectors like defense and enterprise, gaining insights into their unique operational challenges and training needs.

• Product Influence: Contribute directly to the evolution of HTX Labs' core product (EMPACT), influencing its features and direction based on real-world application.

📝 Enhancement Note: This role offers significant opportunities for professional growth by tackling complex, cutting-edge challenges. The "customer-embedded" nature provides invaluable hands-on experience and direct impact, which can accelerate career development in specialized tech fields.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to deliver a complex technical solution in an ambiguous or fast-moving customer environment. How did you approach it?" (Focus on your process, communication, and problem-solving).

• "How would you approach understanding the mission-critical needs of a DoD training program for an XR simulation?" (Demonstrate your UX research and customer empathy).

• "Walk us through the process of designing a scalable data architecture for tracking user interactions within an immersive XR training application." (Showcase your data engineering and architectural thinking).

• "How do you balance the need for rapid prototyping with ensuring the quality and scalability of production systems?" (Highlight your understanding of development lifecycle trade-offs).

Company & Culture Questions:

• "What interests you about HTX Labs and our work in XR training?" (Research the company, their products, and their mission).

• "How do you approach collaborating with cross-functional teams (Product, Engineering, Design)?" (Emphasize your team-player mentality and communication style).

• "Describe a situation where you had to influence stakeholders with data or research findings." (Showcase your ability to translate insights into action).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role and approach, the solution implemented, and the quantifiable results. Use a STAR (Situation, Task, Action, Result) or similar framework.

• Visualize Your Work: Use diagrams for system architecture, mockups or screenshots for dashboards, and clear charts for data analysis.

• Highlight the "Hybrid" Aspect: Explicitly connect your UX research insights to the data systems you designed or the analytics you provided. Show how user needs drove technical solutions.

• Focus on Impact: Emphasize the business value and measurable outcomes achieved. For a contractor role, demonstrating ROI is critical.

• Be Ready for Deep Dives: Anticipate detailed questions about your technical choices, methodologies, and problem-solving strategies.

📝 Enhancement Note: Interview preparation should focus on demonstrating a unique blend of skills: the analytical rigor of a data professional, the user-centricity of a UX researcher, and the execution capability of an engineer, all applied within a customer-facing context.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on rippling.com.

• Portfolio Customization: Curate your portfolio to highlight 1-2 key projects that best demonstrate your experience in data architecture, UX research, full-stack analytics, and customer-embedded delivery, especially if they involve XR, training data (LRS/LMS/xAPI), or complex systems.

• Resume Optimization: Ensure your resume clearly articulates your 5+ years of experience with relevant keywords such as "Data Engineering," "UX Research," "Data Architecture," "Full-Stack Analytics," "Python," "JavaScript," "SQL," "XR," "LMS/LRS," and "Customer Delivery." Quantify achievements whenever possible.

• Interview Preparation: Practice articulating your experience using the STAR method, prepare to discuss your portfolio in detail, and research HTX Labs' mission and technology to demonstrate your interest and fit.

• Company Research: Understand HTX Labs' focus on XR for training, their customer base (DoD, enterprise), and their product (EMPACT). Be ready to discuss how your skills align with their strategic goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.