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Job Description:

Currently working with a high end hospitality firm in Kansas city, Missouri. We are looking for a hands-on Software Engineer who can code, architect and lead. The role is hybrid, 2/3 days in office. The right candidate must have experience with connected devices, IoT or embedded systems.

Role & Responsibilities

* Building and designing robust software solutions to improve communication between products and the mobile app
* Implementing and leading automated QA testing technologies
* Leading the architecture and development of connected device ecoystem while ensuring reliability, scalability and seamless user experience

Skills & Qualifications

* 5+ years of experience in software development (main focus on IoT)
* Strong programming skills in languages such as Java, Python, Swift, C++, etc.
* Familiarity with cloud platforms (Azure, Google Cloud, AWS)

Benefits

* Retirement Savings Plan (401k) Match
* Medical Insurance/Dental Plan
* Company Gym / Gym Membership

We are partnered with an innovative HealthTech company in Dallas that is transforming healthcare through advanced data-driven solutions. They are now seeking a talented Data Scientist to join their growing team and help tackle some of the most impactful challenges in healthcare today.

Role Overview:

As a Data Scientist, you will work closely with product, engineering, and clinical teams to develop models and insights that drive better patient outcomes, optimize operations, and enable new product offerings. This is a hands-on role where you will have the opportunity to work with diverse healthcare data sets and apply the latest machine learning and statistical techniques.

Key Responsibilities:



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Design, build, and deploy predictive models to improve patient care and operational efficiency
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Analyze large-scale healthcare data sets (EMR, claims, device data, etc.)
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Collaborate with cross-functional teams to turn insights into actionable product features
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Communicate findings to both technical and non-technical stakeholders
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Stay current with new developments in machine learning, AI, and healthcare analytics



Ideal Candidate:



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5+ years experience in data science or machine learning, preferably in healthcare or life sciences
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Strong programming skills in Python (Pandas, Scikit-learn, etc.)
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Solid understanding of statistical methods, machine learning techniques, and data wrangling
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Experience working with healthcare data sets (FHIR, HL7, claims, EMR) is a plus
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Strong communication skills and ability to thrive in a collaborative environment



Why Join?



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Make an impact on real-world healthcare outcomes
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Work with a collaborative, mission-driven team
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Hybrid work flexibility (Dallas HQ)
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Competitive salary and benefits

Position Title: Data Engineer

Job Overview:

We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

Key Responsibilities:

* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

Qualifications:

* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

* Strong understanding of database systems, data modeling, and cloud architecture.

* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

Skills & Competencies:

* Takes initiative and brings solutions, not just problems.

* Strong analytical thinking and a pragmatic approach to building systems.

* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

* Collaborative and team-oriented, but capable of working independently when needed.

* Detail-oriented, dependable, and eager to help shape a growing data function.

* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

* Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

Tenth Revolution Group are working with a fast-scaling, Texas-headquartered niche technology pioneer as they look to hire a hands-on, impact-driven Senior Backend Engineer to propel the next wave of their cloud-native and AI-enabled products. The company's sustained commercial wins have fuelled continuous growth, expanding a Technology department that prizes curiosity, rapid experimentation, and precision engineering. Colleagues thrive in an environment where shipping scalable serverless solutions is celebrated and tinkering with applied AI features is part of everyday problem-solving. Engineering decisions are data-backed, architecture discussions are lively, and successes are quickly rolled into the roadmap to keep momentum high.



TECHNICAL REQUIREMENTS:

* Proven success designing, developing, and operating large-scale backend services on AWS using a serverless architecture paradigm.
* Expert-level proficiency in Node.js for building robust, modular, and testable micro-services.
* Deep hands-on mastery of AWS Lambda, including authoring, deploying, and tuning high-throughput functions and integrating them with API Gateway, EventBridge, DynamoDB, and SQS.
* Demonstrated capability to select and implement the most appropriate AWS Serverless components (e.g., Step Functions, AppConfig, SAM/CDK) to achieve low-latency, cost-efficient solutions.
* Track record of shipping production AI-powered functionality: designing data pipelines, integrating ML/LLM services or custom models, and monitoring real-world performance at scale.
* Solid grounding in software architecture patterns (event-driven, micro-services, domain-driven design) with evidence of balancing speed, maintainability, and reliability.
* History of implementing automated CI/CD pipelines and infrastructure-as-code (CloudFormation or CDK) to achieve rapid, reliable deployments.
* Confident in writing performance-focused, unit-tested, and observability-enabled code (metrics, logs, traces) that withstands heavy load.
* Comfortable leading technical decision-making, performing code reviews, and mentoring others through example and deep domain knowledge.



Whilst this position is primarily remote, the organization requires candidates to reside in Texas to accommodate the occasional, albeit rare, on-site visit requirements for certain business critical projects/operations/processes which take place at the company headquarters in the Dallas-Fort Worth metroplex.

A leading global data consultancy is searching for an experienced Machine Learning Solutions Architect to join its growing, remote-first team. Partnering with major cloud platforms (Primarily Snowflake, AWS & Databricks), this company delivers cutting-edge services designed to solve complex data challenges for large enterprises.

What You'll Do:

* Architect and implement data science deployment solutions tailored to enterprise client needs, focusing on model inference, monitoring, retraining, and infrastructure setup.
* Collaborate with data scientists to prepare and transform data into production-ready formats.
* Build environments for model development and testing, ensuring operational readiness and maintainability.
* Design integration strategies with existing business systems to ensure scalability and long-term success.
* Lead efforts in model QA, testing, validation, and production rollout.
* Champion best practices for software development, model deployment, and infrastructure.

What You Bring:

* 6+ years of experience in roles such as ML Engineer, Software Engineer, or Data Engineer. However some kind of background in data engineering is crucial for the role
* Strong background in Python, Scala, Java, or comparable languages.
* Proficient in deploying models in real-world production environments.
* Expertise in SQL and distributed computing tools (e.g., Spark, Snowflake, Databricks).
* Familiarity with various data sources and systems (Kafka, RDBMS, cloud platforms).
* Solid grasp of cloud infrastructure and architecture (e.g., AWS, Azure, GCP).
* Experience in developing APIs or backend applications using modern frameworks.

Preferred Qualifications:

* Advanced degree in a relevant technical field.
* Hands-on experience with ML tools and frameworks such as TensorFlow, Keras, scikit-learn, or H2O.
* Experience with containerization tools like Docker or Kubernetes.
* Familiarity with model management tools (MLflow, Sagemaker, Azure ML).
* Contributions to open-source projects or relevant personal initiatives.

Benefits:

* Flexible, remote-first working model.
* Culture that values creativity, autonomy, and team collaboration.
* Competitive compensation, strong benefits, and generous PTO.
* Ongoing professional development including certification opportunities.
* Inclusive environment where diverse perspectives are welcomed and celebrated.



Equal Opportunity:
This company is committed to diversity and inclusion, offering a workplace that supports all employees regardless of background, identity, or experience. Accommodations are available for applicants with disabilities.

Position Title: Data Engineer

About the Role:

We're seeking a dynamic and resourceful Data Engineer to become part of our expanding team. In this role, you'll be responsible for building and maintaining robust, scalable data pipelines and infrastructure that support analytics and reporting across the organization. You'll partner with both technical and business teams to ensure data flows efficiently, systems are dependable, and our data strategy is future-ready. The right candidate thrives in a fast-paced environment, is a collaborative problem-solver, and brings a sharp, adaptable mindset to technical challenges.

What You'll Do:

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Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
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Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
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Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
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System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
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End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
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Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
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Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
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Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

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Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
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Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
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Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
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Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
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Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
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Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
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Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

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Proactive and solution-focused, not afraid to take ownership.
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Strong analytical and systems thinking skills with a practical mindset.
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Clear communicator who can articulate technical ideas to various audiences.
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Team player who can also thrive in independent settings.
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Detail-oriented, reliable, and invested in the team's and company's success.
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Agile and professional under pressure, with a flexible approach to shifting priorities.

Tenth Revolution Group are working with a leading organization in the hospitality industry who are looking to add a Senior AI Engineer to the team on a permanent basis.

Successful applicants for this role will be able to demonstrate hands on experience designing, coding, and shipping production workloads built entirely on AWS Serverless. Applicants must have strong experience with Node.js functions running in AWS Lambda behind API Gateway, with event-driven patterns. Experience modernizing legacy services, building green-field APIs, and optimizing cold-start performance at scale will be highly advantageous.

Technical Responsibilities

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Own the end-to-end design and rollout of AI solutions that accelerate sales forecasting, quote generation, and marketing content creation.
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Map current processes in Microsoft Dynamics 365 Business Central (BC); identify data sources, gaps, and integration points for AI.
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Architect and implement Azure-based services (Azure OpenAI Service, Cognitive Services, Azure Machine Learning, Data Factory, Synapse, Functions, Logic Apps) to ingest data, train models, and deploy scalable, secure APIs.
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Build and maintain reusable forecasting and CPQ models, prompt libraries, and generative-content templates; establish CI/CD and MLOps pipelines.
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Define and enforce AI governance: data quality standards, versioning, telemetry, bias mitigation, security, and Responsible AI compliance.
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Lead backlog grooming, sprint planning, and cross-functional collaboration with product, marketing, and IT; serve as the technical lead for adoption of AI across the organization
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Track and report performance metrics (latency, accuracy, ROI) and continuously optimize models and workflows.

Required Skills & Experience

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Successful track record of delivering data analytics / software solutions, with recent lead role(s) in production AI/ML and/or generative-AI deployments.
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Deep expertise in Azure AI stack (Azure OpenAI, Cognitive Services, Azure Machine Learning, Data Lake, Synapse, Data Factory) and in designing secure, high-availability cloud architectures.
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Hands-on knowledge of Microsoft Dynamics 365 Business Central APIs, AL extensions, and Power Platform (Power Automate, Power Apps, Copilot Studio, Dataverse).
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Strong programming background (Python, SQL) and proficiency with Git-based CI/CD, RESTful API design, and serverless/event-driven patterns.
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Proven delivery of forecasting, CPQ, or marketing-content AI solutions at enterprise scale; fluency in prompt engineering, retrieval-augmented generation, and vector databases (e.g., Azure Cosmos DB, Elastic).
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Experience standing up MLOps frameworks (MLflow, Azure ML pipelines) and monitoring for model drift, data shifts, and cost efficiency.
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Solid grasp of data governance, privacy (GDPR/CCPA), security best practices, and Responsible AI principles.
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Exceptional stakeholder-management and leadership skills; adept at evangelizing new technology and mentoring engineers in an agile environment.



This position is on-site in Dallas, specifically in the vicinity of Grapevine so candidates must be local, and willing to work onsite 5 days per week.

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions via white papers.

* Reporting & Presentations: Prepare and present reports to key internal and external teams via power point, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.