Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
11/04/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
Job Description Job Description SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead. Position Overview SiloSmashers is hiring for a Business Intelligence (BI) Engineer to support a government customer. This lead role will be responsible for architecting, designing, developing, governing, and sustaining high impact dashboards, analytic visualizations, and decision support experiences across Databricks-enabled unified data platform and approved BI tools. The selected candidate will serve as the lead technical authority for enterprise BI solutioning, covering semantic modeling, metric layer design, and secure publishing of dashboards and insights to stakeholders. This position will collaborate closely with the Project Manager / Contractor Lead, federal technical teams, and cross task platform, SRE, governance, privacy, and development personnel to ensure visualizations are accurate, performant, secure, and compliant across platforms (including but not limited to Power BI and Databricks dashboards) and integrations. Responsibilities Serve as the principal BI/Visualization authority, owning end-to-end dashboard design patterns, accessibility/usability standards, data to visual mapping, and visual QA processes. Design and deliver BI solutions on platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards: Author governed semantic models, calculation logic, and BI ready datasets sourced from Lakehouse tables and Databricks SQL Warehouses; implement row/column level security and governed tags via Unity Catalog. Establish patterns for incremental refresh, Direct Query/Live connections, and aggregation tables to balance freshness, performance, and cost. Partner with Data Engineering to enforce medallion architecture conventions and ensure upstream tables/views meet BI performance and governance requirements (e.g., schema stability, expectations/quality checks). Coordinate with Privacy & Governance teams to enforce Unity Catalog RBAC/ABAC, governed tags, lineage capture, and data sharing rules within BI tools and export pathways; ensure PTA/PIA/SORN considerations are reflected in visualization features and sharing modes. Provide operational support and incident response for BI assets, root cause analysis of refresh/query failures, change-related regressions, and access issues; maintain runbooks, monitoring, and alerts for dataset/warehouse health and usage. Lead stakeholder enablement: conduct demos, office hours, and training on dashboard usage and interpretation; maintain documentation (data dictionaries, metric definitions, usage guides). Mentor BI engineers/analysts and enforce BI quality gates (peer reviews, test coverage for DAX/SQL, visualization accessibility checks, reproducible deployments) consistent with program DevSecOps practices. The BI Engineer Lead is expected to be available to the customer via telephone between the hours of 0900 and 1700 EST, Monday through Friday. Qualifications & Requirements Ability to obtain and maintain a Public Trust clearance. Five (5) or more years of experience (4 of which must be within the last 6 years) building and operating production grade visualizations/dashboards with at least two of the following: Power BI, Tableau, Kibana/Elastic, Databricks Dashboards, or custom web UI dashboards (React/Vue/D3, etc.). Bachelor's degree in information systems, computer science, engineering, analytics, or related field; or eight (8) total years of equivalent experience in lieu of a degree. Required (choose at least one): Microsoft Power BI Data Analyst Associate (PL-300) or successor. Tableau Certified Data Analyst (or Tableau Desktop Specialist + demonstrable experience). Elastic Certified Analyst (Kibana). Qlik Sense Business Analyst (QSBA) Must have demonstrated hands-on experience with SQL queries and medallion data patterns (bronze/silver/gold), authoring SQL views and BI ready tables that conform to governance and privacy controls. Must have demonstrated proficiency with Git-based workflows (GitHub Enterprise, Azure DevOps) for BI assets, versioning datasets, dashboards, and deployment scripts; familiarity with declarative bundles/CI/CD for business intelligence (BI) asset promotion across dev/test/prod. Must have demonstrated hands-on experience building Kibana dashboards, Lens visualizations, KQL queries, and anomaly detection. Preferred but not required: Databricks Lakehouse Fundamentals / Databricks SQL credential(s); Databricks Data Engineer Associate/Professional for candidates with strong data modeling responsibilities. Cloud certifications (e.g., AWS or Azure associate level) relevant to BI/data services. This position requires regular, physical attendance at customer sites. Job Posted by ApplicantPro
11/03/2026
Full time
Job Description Job Description SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead. Position Overview SiloSmashers is hiring for a Business Intelligence (BI) Engineer to support a government customer. This lead role will be responsible for architecting, designing, developing, governing, and sustaining high impact dashboards, analytic visualizations, and decision support experiences across Databricks-enabled unified data platform and approved BI tools. The selected candidate will serve as the lead technical authority for enterprise BI solutioning, covering semantic modeling, metric layer design, and secure publishing of dashboards and insights to stakeholders. This position will collaborate closely with the Project Manager / Contractor Lead, federal technical teams, and cross task platform, SRE, governance, privacy, and development personnel to ensure visualizations are accurate, performant, secure, and compliant across platforms (including but not limited to Power BI and Databricks dashboards) and integrations. Responsibilities Serve as the principal BI/Visualization authority, owning end-to-end dashboard design patterns, accessibility/usability standards, data to visual mapping, and visual QA processes. Design and deliver BI solutions on platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards: Author governed semantic models, calculation logic, and BI ready datasets sourced from Lakehouse tables and Databricks SQL Warehouses; implement row/column level security and governed tags via Unity Catalog. Establish patterns for incremental refresh, Direct Query/Live connections, and aggregation tables to balance freshness, performance, and cost. Partner with Data Engineering to enforce medallion architecture conventions and ensure upstream tables/views meet BI performance and governance requirements (e.g., schema stability, expectations/quality checks). Coordinate with Privacy & Governance teams to enforce Unity Catalog RBAC/ABAC, governed tags, lineage capture, and data sharing rules within BI tools and export pathways; ensure PTA/PIA/SORN considerations are reflected in visualization features and sharing modes. Provide operational support and incident response for BI assets, root cause analysis of refresh/query failures, change-related regressions, and access issues; maintain runbooks, monitoring, and alerts for dataset/warehouse health and usage. Lead stakeholder enablement: conduct demos, office hours, and training on dashboard usage and interpretation; maintain documentation (data dictionaries, metric definitions, usage guides). Mentor BI engineers/analysts and enforce BI quality gates (peer reviews, test coverage for DAX/SQL, visualization accessibility checks, reproducible deployments) consistent with program DevSecOps practices. The BI Engineer Lead is expected to be available to the customer via telephone between the hours of 0900 and 1700 EST, Monday through Friday. Qualifications & Requirements Ability to obtain and maintain a Public Trust clearance. Five (5) or more years of experience (4 of which must be within the last 6 years) building and operating production grade visualizations/dashboards with at least two of the following: Power BI, Tableau, Kibana/Elastic, Databricks Dashboards, or custom web UI dashboards (React/Vue/D3, etc.). Bachelor's degree in information systems, computer science, engineering, analytics, or related field; or eight (8) total years of equivalent experience in lieu of a degree. Required (choose at least one): Microsoft Power BI Data Analyst Associate (PL-300) or successor. Tableau Certified Data Analyst (or Tableau Desktop Specialist + demonstrable experience). Elastic Certified Analyst (Kibana). Qlik Sense Business Analyst (QSBA) Must have demonstrated hands-on experience with SQL queries and medallion data patterns (bronze/silver/gold), authoring SQL views and BI ready tables that conform to governance and privacy controls. Must have demonstrated proficiency with Git-based workflows (GitHub Enterprise, Azure DevOps) for BI assets, versioning datasets, dashboards, and deployment scripts; familiarity with declarative bundles/CI/CD for business intelligence (BI) asset promotion across dev/test/prod. Must have demonstrated hands-on experience building Kibana dashboards, Lens visualizations, KQL queries, and anomaly detection. Preferred but not required: Databricks Lakehouse Fundamentals / Databricks SQL credential(s); Databricks Data Engineer Associate/Professional for candidates with strong data modeling responsibilities. Cloud certifications (e.g., AWS or Azure associate level) relevant to BI/data services. This position requires regular, physical attendance at customer sites. Job Posted by ApplicantPro
Job Description Job Description SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead. Position Overview SiloSmashers is hiring for a Data Visualization / Business Intelligence (BI) Engineer to support a government customer. This lead role will be responsible for architecting, designing, developing, governing, and sustaining high impact dashboards, analytic visualizations, and decision support experiences across Databrick enabled unified data platform and approved BI tools. The selected candidate will serve as the lead technical authority for enterprise BI solutioning, covering semantic modeling, metric layer design, and secure publishing of dashboards and insights to stakeholders. This position will collaborate closely with the Project Manager / Contractor Lead, federal technical teams, and cross task platform, SRE, governance, privacy, and development personnel to ensure visualizations are accurate, performant, secure, and compliant across platforms (including but not limited to Power BI and Databricks dashboards) and integrations. Responsibilities Serve as the principal BI/Visualization authority, owning end to end dashboard design patterns, accessibility/usability standards, data to visual mapping, and visual QA processes. Design and deliver BI solutions on platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards: Author governed semantic models, calculation logic, and BI ready datasets sourced from Lakehouse tables and Databricks SQL Warehouses; implement row/column level security and governed tags via Unity Catalog. Establish patterns for incremental refresh, Direct Query/Live connections, and aggregation tables to balance freshness, performance, and cost. Partner with Data Engineering to enforce medallion architecture conventions and ensure upstream tables/views meet BI performance and governance requirements (e.g., schema stability, expectations/quality checks). Coordinate with Privacy & Governance teams to enforce Unity Catalog RBAC/ABAC, governed tags, lineage capture, and data sharing rules within BI tools and export pathways; ensure PTA/PIA/SORN considerations are reflected in visualization features and sharing modes. Provide operational support and incident response for BI assets, root cause analysis of refresh/query failures, change related regressions, and access issues; maintain runbooks, monitoring, and alerts for dataset/warehouse health and usage. Lead stakeholder enablement: conduct demos, office hours, and training on dashboard usage and interpretation; maintain documentation (data dictionaries, metric definitions, usage guides). Mentor BI engineers/analysts and enforce BI quality gates (peer reviews, test coverage for DAX/SQL, visualization accessibility checks, reproducible deployments) consistent with program DevSecOps practices. The BI Engineer Lead is expected to be available to the customer via telephone between the hours of 0900 and 1700 EST, Monday through Friday. Qualifications & Requirements Ability to obtain and maintain a Public Trust clearance. Five (5) or more years of experience (4 of which must be within the last 6 years) building and operating production grade visualizations/dashboards with at least two of the following: Power BI, Tableau, Kibana/Elastic, Databricks Dashboards, or custom web UI dashboards (React/Vue/D3, etc.). Bachelor's degree in information systems, computer science, engineering, analytics, or related field; or eight (8) total years of equivalent experience in lieu of a degree. Required (choose at least one): Microsoft Power BI Data Analyst Associate (PL 300) or successor. Tableau Certified Data Analyst (or Tableau Desktop Specialist + demonstrable experience). Elastic Certified Analyst (Kibana). Demonstrates expertise building Kibana dashboards, Lens visualizations, KQL queries, and anomaly detection. Qlik Sense Business Analyst (QSBA) Must have demonstrated hands-on experience with SQL queries and medallion data patterns (bronze/silver/gold), authoring SQL views and BI ready tables that conform to governance and privacy controls. Must have demonstrated proficiency with Git based workflows (GitHub Enterprise, Azure DevOps) for BI assets, versioning datasets, dashboards, and deployment scripts; familiarity with declarative bundles/CI/CD for business intelligence (BI) asset promotion across dev/test/prod. Preferred but not required: Databricks Lakehouse Fundamentals / Databricks SQL credential(s); Databricks Data Engineer Associate/Professional for candidates with strong data modeling responsibilities. Cloud certifications (e.g., AWS or Azure associate level) relevant to BI/data services. This position requires regular, physical attendance at customer sites. Job Posted by ApplicantPro
11/03/2026
Full time
Job Description Job Description SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead. Position Overview SiloSmashers is hiring for a Data Visualization / Business Intelligence (BI) Engineer to support a government customer. This lead role will be responsible for architecting, designing, developing, governing, and sustaining high impact dashboards, analytic visualizations, and decision support experiences across Databrick enabled unified data platform and approved BI tools. The selected candidate will serve as the lead technical authority for enterprise BI solutioning, covering semantic modeling, metric layer design, and secure publishing of dashboards and insights to stakeholders. This position will collaborate closely with the Project Manager / Contractor Lead, federal technical teams, and cross task platform, SRE, governance, privacy, and development personnel to ensure visualizations are accurate, performant, secure, and compliant across platforms (including but not limited to Power BI and Databricks dashboards) and integrations. Responsibilities Serve as the principal BI/Visualization authority, owning end to end dashboard design patterns, accessibility/usability standards, data to visual mapping, and visual QA processes. Design and deliver BI solutions on platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards: Author governed semantic models, calculation logic, and BI ready datasets sourced from Lakehouse tables and Databricks SQL Warehouses; implement row/column level security and governed tags via Unity Catalog. Establish patterns for incremental refresh, Direct Query/Live connections, and aggregation tables to balance freshness, performance, and cost. Partner with Data Engineering to enforce medallion architecture conventions and ensure upstream tables/views meet BI performance and governance requirements (e.g., schema stability, expectations/quality checks). Coordinate with Privacy & Governance teams to enforce Unity Catalog RBAC/ABAC, governed tags, lineage capture, and data sharing rules within BI tools and export pathways; ensure PTA/PIA/SORN considerations are reflected in visualization features and sharing modes. Provide operational support and incident response for BI assets, root cause analysis of refresh/query failures, change related regressions, and access issues; maintain runbooks, monitoring, and alerts for dataset/warehouse health and usage. Lead stakeholder enablement: conduct demos, office hours, and training on dashboard usage and interpretation; maintain documentation (data dictionaries, metric definitions, usage guides). Mentor BI engineers/analysts and enforce BI quality gates (peer reviews, test coverage for DAX/SQL, visualization accessibility checks, reproducible deployments) consistent with program DevSecOps practices. The BI Engineer Lead is expected to be available to the customer via telephone between the hours of 0900 and 1700 EST, Monday through Friday. Qualifications & Requirements Ability to obtain and maintain a Public Trust clearance. Five (5) or more years of experience (4 of which must be within the last 6 years) building and operating production grade visualizations/dashboards with at least two of the following: Power BI, Tableau, Kibana/Elastic, Databricks Dashboards, or custom web UI dashboards (React/Vue/D3, etc.). Bachelor's degree in information systems, computer science, engineering, analytics, or related field; or eight (8) total years of equivalent experience in lieu of a degree. Required (choose at least one): Microsoft Power BI Data Analyst Associate (PL 300) or successor. Tableau Certified Data Analyst (or Tableau Desktop Specialist + demonstrable experience). Elastic Certified Analyst (Kibana). Demonstrates expertise building Kibana dashboards, Lens visualizations, KQL queries, and anomaly detection. Qlik Sense Business Analyst (QSBA) Must have demonstrated hands-on experience with SQL queries and medallion data patterns (bronze/silver/gold), authoring SQL views and BI ready tables that conform to governance and privacy controls. Must have demonstrated proficiency with Git based workflows (GitHub Enterprise, Azure DevOps) for BI assets, versioning datasets, dashboards, and deployment scripts; familiarity with declarative bundles/CI/CD for business intelligence (BI) asset promotion across dev/test/prod. Preferred but not required: Databricks Lakehouse Fundamentals / Databricks SQL credential(s); Databricks Data Engineer Associate/Professional for candidates with strong data modeling responsibilities. Cloud certifications (e.g., AWS or Azure associate level) relevant to BI/data services. This position requires regular, physical attendance at customer sites. Job Posted by ApplicantPro
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: The Data Scientist will focus on performing ETL / data cleaning, developing interactive visualizations, building predictive models, and support implementing Artificial Intelligence solutions tied to asset and material maintenance and management data, as well as policy data. The data analyst will be responsible for all of the following to include but not limited to: Dedicated to workstream tasking and reports directly to the workstream lead Working closely with workstream lead in day-to-day execution of project tasks Collect, and analyze diverse data for creation of performance metrics and producing outputs to client What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelors Degree. THREE (3) or more years of specialized experience in data analysis. Python or R Programming experience Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) Must be able to be on client site at least 3-4 days a week in the Tidewater area. What Would Be Nice To Have: Experience developing data pipelines and scripts using Databricks Experience developing in Palantir Foundry RPA or general automation experience in UiPath or Microsoft Power Automate Experience implementing military or industry business solutions and services Experience in understanding and applying data to develop reports, visualizations, and other deliverables Experience in analysis of statistical and mathematical modeling of data (i.e., regression analysis, simulation, impact analyses, geographic analyses, performance measurement/management) Experience with the Microsoft Power Platform (Power Apps, Power Automate, Power BI) (Desirable) Knowledge of Navy operations and data systems, in particular Naval supply and or maintenance What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
11/02/2026
Full time
Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: The Data Scientist will focus on performing ETL / data cleaning, developing interactive visualizations, building predictive models, and support implementing Artificial Intelligence solutions tied to asset and material maintenance and management data, as well as policy data. The data analyst will be responsible for all of the following to include but not limited to: Dedicated to workstream tasking and reports directly to the workstream lead Working closely with workstream lead in day-to-day execution of project tasks Collect, and analyze diverse data for creation of performance metrics and producing outputs to client What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelors Degree. THREE (3) or more years of specialized experience in data analysis. Python or R Programming experience Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) Must be able to be on client site at least 3-4 days a week in the Tidewater area. What Would Be Nice To Have: Experience developing data pipelines and scripts using Databricks Experience developing in Palantir Foundry RPA or general automation experience in UiPath or Microsoft Power Automate Experience implementing military or industry business solutions and services Experience in understanding and applying data to develop reports, visualizations, and other deliverables Experience in analysis of statistical and mathematical modeling of data (i.e., regression analysis, simulation, impact analyses, geographic analyses, performance measurement/management) Experience with the Microsoft Power Platform (Power Apps, Power Automate, Power BI) (Desirable) Knowledge of Navy operations and data systems, in particular Naval supply and or maintenance What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
10/28/2026
Full time
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
Job Description Job Description Position: Digital Experimentation Analyst Position Type: W2 Contract- No Benefits Position Location: Fort Worth, TX Description: This job is a member of the Digital Experimentation Team within the Digital Customer Experience Team This role is responsible for managing and delivering on the Digital Experimentation program. What you'll do Establish best practices for measurement of experiments using statistical methods Help others design, analyze and communicate the results of their experiments Design, execute, and analyze A/B tests Build a culture of experimentation by running successful tests, building partnerships with key stakeholders, and spreading interest in a test and learn culture Identify opportunities for analysis and testing on the site that increase conversion or drive revenue improvement; use data to communicate recommendations to stakeholders; promote the adoption of a test-and-learn culture Work with stakeholders to understand business needs and develop viable solutions Ensure the experimentation program is scalable, repeatable, effective, and meets stakeholder expectations Work with vendors and internal analytics implementation team to develop reporting strategies and ensure data is being collected properly and accurately Collaborate with developers to set up testing campaigns Define best practice approaches for a successful experimentation program All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or related field Proficiency in Python, R or other relevant modern programming languages Experience with digital experimentation and causal inference Experience with SQL Experience with Adobe products, or similar testing tools Preferred Qualifications- Education & Prior Job Experience MS in Statistics, Applied Math, Computer Science, Economics, Engineering or related field Experience with marketing technology tools including Adobe Analytics and Adobe Target Skills, Licenses & Certifications Core technical skills, including experience with Databricks preferred Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision Outstanding analytical thinking and problem-solving abilities Ability to translate business goals to experiments Excellent interpersonal and communication skills, with the ability to tailor your approach to different audiences Ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way Powered by JazzHR l5WwgCcjiH
10/23/2026
Full time
Job Description Job Description Position: Digital Experimentation Analyst Position Type: W2 Contract- No Benefits Position Location: Fort Worth, TX Description: This job is a member of the Digital Experimentation Team within the Digital Customer Experience Team This role is responsible for managing and delivering on the Digital Experimentation program. What you'll do Establish best practices for measurement of experiments using statistical methods Help others design, analyze and communicate the results of their experiments Design, execute, and analyze A/B tests Build a culture of experimentation by running successful tests, building partnerships with key stakeholders, and spreading interest in a test and learn culture Identify opportunities for analysis and testing on the site that increase conversion or drive revenue improvement; use data to communicate recommendations to stakeholders; promote the adoption of a test-and-learn culture Work with stakeholders to understand business needs and develop viable solutions Ensure the experimentation program is scalable, repeatable, effective, and meets stakeholder expectations Work with vendors and internal analytics implementation team to develop reporting strategies and ensure data is being collected properly and accurately Collaborate with developers to set up testing campaigns Define best practice approaches for a successful experimentation program All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or related field Proficiency in Python, R or other relevant modern programming languages Experience with digital experimentation and causal inference Experience with SQL Experience with Adobe products, or similar testing tools Preferred Qualifications- Education & Prior Job Experience MS in Statistics, Applied Math, Computer Science, Economics, Engineering or related field Experience with marketing technology tools including Adobe Analytics and Adobe Target Skills, Licenses & Certifications Core technical skills, including experience with Databricks preferred Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision Outstanding analytical thinking and problem-solving abilities Ability to translate business goals to experiments Excellent interpersonal and communication skills, with the ability to tailor your approach to different audiences Ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way Powered by JazzHR l5WwgCcjiH
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Big Data Laser Analyst Description - Job Summary • We are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. In this role, you will translate consumer and enterprise print telemetry into trusted metrics, dashboards, and actionable insights, with a primary focus on laser printer data. You will partner closely with data engineers and data scientists to improve data reliability, define KPI and metric semantics, and influence cross-functional decisions through clear data storytelling. Responsibilities • Own laser print telemetry business insights for the Print Supplies organization, from problem framing and metric definition through analysis, visualization, and executive-ready recommendations. • Partner with stakeholders to clarify goals, translate business questions into analytical requirements, define critical KPIs, and deliver insights that drive decisions. • Provide consultative support and ad hoc analyses with clear hypotheses, methods, and assumptions; produce reusable queries, datasets, and shareable outputs with documented limitations. • Collaborate with internal and external partners to align on telemetry instrumentation, data collection methodology, and platform differences to ensure consistent interpretation across printer platforms. • Investigate data quality issues (completeness, accuracy, timeliness), perform root-cause analysis across pipelines and sources, and communicate impacts and remediation paths with appropriate caveats. • Enable self-service analytics by documenting dashboards and KPI definitions, and coach users on correct interpretation and common pitfalls. • Design and maintain measurement frameworks (e.g., adoption, usage, retention, share, funnel/driver analyses); when applicable, support experiment or pre/post evaluation and interpret results for stakeholders. • Create clear narratives through written summaries, presentations, and recurring reporting that highlight trends, drivers, risks, and recommended actions for leadership and partner teams. • Provide guidance and mentoring to less- experienced staff members. • Solve difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently. • Lead moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans. Education & Experience Recommended • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience. Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Analytics: exploratory analysis, root-cause analysis, and KPI design • SQL: complex joins, CTEs, window functions, query performance optimization • Python (and/or PySpark) for analysis, data validation, and automation. Familiar with VSCode and Databricks Ideally • Ability to interpret telemetry and pipeline outputs in business context, including communicating uncertainty and known limitations • Comfort working across multiple data sources/layers and explaining differences in source-of-truth, grain, and transformations • Comfort with modern analytics tooling (including AI-assisted development) while maintaining reproducibility and reviewable outputs • Dashboarding & data visualization: Power BI, Tableau, Qlik, advanced excel / PowerPoint or similar; ability to build stakeholder-ready reporting • Data quality and governance: profiling, anomaly detection, metric validation, and documentation • Strong documentation habits for metric definitions, data lineage, and stakeholder guidance; familiarity with version control (e.g., Git) a plus. Familiar with Jira and Confluence. • Applied statistics: sampling, confidence intervals, and basic experiment/pre-post evaluation Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity • Collaboration across technical and non-technical teams Impact & Scope • Impacts function by providing analytics and data quality validation that supports business-critical reporting and stakeholder decision-making for laser telemetry KPIs • Serves as a key point of contact for laser telemetry interpretation and investigation requests, partnering across teams to drive consistent definitions and reliable use of outputs Complexity • Responds to moderately complex issues within established guidelines. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Salary The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
10/07/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Big Data Laser Analyst Description - Job Summary • We are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. In this role, you will translate consumer and enterprise print telemetry into trusted metrics, dashboards, and actionable insights, with a primary focus on laser printer data. You will partner closely with data engineers and data scientists to improve data reliability, define KPI and metric semantics, and influence cross-functional decisions through clear data storytelling. Responsibilities • Own laser print telemetry business insights for the Print Supplies organization, from problem framing and metric definition through analysis, visualization, and executive-ready recommendations. • Partner with stakeholders to clarify goals, translate business questions into analytical requirements, define critical KPIs, and deliver insights that drive decisions. • Provide consultative support and ad hoc analyses with clear hypotheses, methods, and assumptions; produce reusable queries, datasets, and shareable outputs with documented limitations. • Collaborate with internal and external partners to align on telemetry instrumentation, data collection methodology, and platform differences to ensure consistent interpretation across printer platforms. • Investigate data quality issues (completeness, accuracy, timeliness), perform root-cause analysis across pipelines and sources, and communicate impacts and remediation paths with appropriate caveats. • Enable self-service analytics by documenting dashboards and KPI definitions, and coach users on correct interpretation and common pitfalls. • Design and maintain measurement frameworks (e.g., adoption, usage, retention, share, funnel/driver analyses); when applicable, support experiment or pre/post evaluation and interpret results for stakeholders. • Create clear narratives through written summaries, presentations, and recurring reporting that highlight trends, drivers, risks, and recommended actions for leadership and partner teams. • Provide guidance and mentoring to less- experienced staff members. • Solve difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently. • Lead moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans. Education & Experience Recommended • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience. Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Analytics: exploratory analysis, root-cause analysis, and KPI design • SQL: complex joins, CTEs, window functions, query performance optimization • Python (and/or PySpark) for analysis, data validation, and automation. Familiar with VSCode and Databricks Ideally • Ability to interpret telemetry and pipeline outputs in business context, including communicating uncertainty and known limitations • Comfort working across multiple data sources/layers and explaining differences in source-of-truth, grain, and transformations • Comfort with modern analytics tooling (including AI-assisted development) while maintaining reproducibility and reviewable outputs • Dashboarding & data visualization: Power BI, Tableau, Qlik, advanced excel / PowerPoint or similar; ability to build stakeholder-ready reporting • Data quality and governance: profiling, anomaly detection, metric validation, and documentation • Strong documentation habits for metric definitions, data lineage, and stakeholder guidance; familiarity with version control (e.g., Git) a plus. Familiar with Jira and Confluence. • Applied statistics: sampling, confidence intervals, and basic experiment/pre-post evaluation Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity • Collaboration across technical and non-technical teams Impact & Scope • Impacts function by providing analytics and data quality validation that supports business-critical reporting and stakeholder decision-making for laser telemetry KPIs • Serves as a key point of contact for laser telemetry interpretation and investigation requests, partnering across teams to drive consistent definitions and reliable use of outputs Complexity • Responds to moderately complex issues within established guidelines. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Salary The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
Job Family: Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Federal Government. This role requires hands-on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design and development of data visualization and dashboard solutions to provide required analytics insights using Tableau. Leading and reviewing data cleaning scripts using tools such as Databricks, SQL, and Python. Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making. Identify opportunities for workflow optimization, automation, and improved data handling, and contribute to implementation efforts. Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development. Support business development (such as RFP, RFQ, and RFI responses and white papers), internal firm initiatives, and ongoing professional development. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST" A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field is required ONE (1) or more year of experience in business analytics, data analysis, data engineer, data visualization or data science What Would Be Nice To Have: Strong communication and presentation skills and ability to explain technical topics to non-technical audiences. Ability to gather requirements and present to clients with strong written and verbal communication skills. Familiarity with dashboard tools such as Tableau or Power BI. Familiarity with cloud-based analytics environments (such as Databricks, Snowflake, or Impala). Experience performing analytics and data transformation using SQL, Python, and R. Knowledge of ETL processes and tools for data integration. The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
10/05/2026
Full time
Job Family: Data Science Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Federal Government. This role requires hands-on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design and development of data visualization and dashboard solutions to provide required analytics insights using Tableau. Leading and reviewing data cleaning scripts using tools such as Databricks, SQL, and Python. Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making. Identify opportunities for workflow optimization, automation, and improved data handling, and contribute to implementation efforts. Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development. Support business development (such as RFP, RFQ, and RFI responses and white papers), internal firm initiatives, and ongoing professional development. What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST" A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field is required ONE (1) or more year of experience in business analytics, data analysis, data engineer, data visualization or data science What Would Be Nice To Have: Strong communication and presentation skills and ability to explain technical topics to non-technical audiences. Ability to gather requirements and present to clients with strong written and verbal communication skills. Familiarity with dashboard tools such as Tableau or Power BI. Familiarity with cloud-based analytics environments (such as Databricks, Snowflake, or Impala). Experience performing analytics and data transformation using SQL, Python, and R. Knowledge of ETL processes and tools for data integration. The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
09/29/2026
Full time
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
09/28/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science