Air Distribution Technologies Inc. is seeking a detail-oriented and strategic Intellectual Property (IP) Analyst to support the expansion and protection of our patent portfolio. In this role, you will collaborate closely with engineers and business teams to identify innovations, assess patentability, and assist in IP strategy development. You will also support negotiations with third-party partners and ensure effective management of IP-related processes. While this role requires a strong understanding of patent preparation and prosecution, it will primarily focus on IP strategy, portfolio management, and collaboration with outside counsel rather than direct drafting of patent applications or office action responses. The ideal candidate will be highly analytical, organized, and proactive in identifying opportunities for IP protection and risk mitigation. We are seeking a confident IP professional who excels in communication and stakeholder engagement. The most qualified candidate will integrate closely with business and engineering teams, becoming a trusted resource for patentability assessments, clearance evaluations, IP contracting, and overall intellectual property guidance. Exceptional performance in this role will open doors for growth opportunities within the organization. What We Look For: Bachelor’s degree in engineering, science, intellectual property, or a related field; advanced degree preferred 5+ years of experience in intellectual property analysis, portfolio management, or patent prosecution support Strong technical background, with experience analyzing and protecting control systems, mechanical equipment, and software-driven innovations Familiarity with software licensing, open-source compliance, and digital IP matters At least 3 years of experience supporting patent preparation and prosecution At least 2 years of experience reviewing and negotiating IP-related agreements with third parties Excellent analytical, organizational, and communication skills
As an Intellectual Property (IP) Analyst at Air Distribution Technologies Inc., you will play a crucial role in supporting the expansion and protection of the company's patent portfolio. Your primary responsibilities will involve collaborating with engineers and business teams to identify innovations, evaluate patentability, and contribute to the development of IP strategies. Additionally, you will be involved in negotiations with external partners and ensuring efficient management of IP processes. While proficiency in patent preparation and prosecution is essential for this role, the main focus will be on IP strategy, portfolio management, and working closely with external legal counsel rather than directly drafting patent applications or responses to office actions. The ideal candidate will possess strong analytical skills, exceptional organizational abilities, and a proactive approach to identifying opportunities for IP protection and managing associated risks. We are seeking a confident and communicative IP professional who excels in engaging with stakeholders. The successful candidate will integrate seamlessly with business and engineering teams, providing valuable insights for patentability assessments, clearance evaluations, IP contracting, and overall intellectual property guidance. Exceptional performance in this position will pave the way for future growth opportunities within the organization. Qualifications: - Bachelor's degree in engineering, science, intellectual property, or a related field; advanced degree preferred - 5+ years of experience in intellectual property analysis, portfolio management, or support for patent prosecution - Strong technical background, including experience in analyzing and safeguarding control systems, mechanical equipment, and software-driven innovations - Familiarity with software licensing, open-source compliance, and digital IP issues - Minimum of 3 years of experience in supporting patent preparation and prosecution - At least 2 years of experience in reviewing and negotiating IP-related agreements with external parties - Excellent analytical, organizational, and communication skills If you are a detail-oriented and strategic professional with a passion for intellectual property, we encourage you to apply for this rewarding opportunity at Air Distribution Technologies Inc. Join our team and contribute to the growth and protection of our patent portfolio while engaging with diverse stakeholders and driving innovation forward.,
The Power BI Developer & Administrator is a technical expert responsible for building, optimizing, and maintaining Power BI reporting solutions and infrastructure. This role works closely with data engineers and business analysts to design enterprise-grade data models, write optimized SQL queries, manage Power BI Service workspaces, and ensure secure, high-performing dashboards. This is a hands-on technical role requiring deep experience in Power BI architecture, DAX, SQL, and data modeling along with knowledge of Azure SQL and ADF pipelines. Essential Duties and Responsibilities Power BI Development: Create visually compelling and user-friendly dashboards, paginated reports, and semantic models using Power BI Desktop and Service. Data Modeling & DAX: Develop DAX measures, calculated columns, and reusable data models that follow best practices and support scalability. Environment Administration: Manage Power BI workspaces, datasets, gateways, refresh schedules , and enforce governance policies. Security: Configure and maintain row-level security (RLS) to protect sensitive data. SQL Development: Write and tune SQL queries, views, and stored procedures in Azure SQL to optimize reporting performance. Performance Monitoring: Monitor dataset refresh performance, troubleshoot failures, and recommend optimizations. Collaboration: Work closely with business users, analysts, and data engineers to ensure data pipelines deliver accurate, ready-to-use information. Training & Support: Provide self-service analytics enablement by mentoring power users and documenting data models and report usage. Qualifications Bachelor’s degree in Data Analytics, Computer Science, or related field. 4–6+ years of hands-on experience in Power BI development and administration. Proven experience managing Power BI in an enterprise environment (workspace governance, security, performance tuning). Strong background in SQL development and experience with Azure SQL/Synapse Expert-level knowledge of DAX and Power Query (M language). Strong understanding of data modeling (star schema, snowflake schema, surrogate keys, SCDs). Proficiency with Power BI Service features: deployment pipelines, incremental refresh, composite models. Skilled in query optimization and performance tuning for large datasets. Familiarity with Power BI REST API, PowerShell scripting, and CI/CD pipelines. Nice to Have: Experience with Power Apps and Power Automate for extended automation and workflows. Excellent documentation and communication skills.
The Data Engineer is responsible for designing, building, and maintaining the data infrastructure that powers reporting, analytics, and decision-making across the organization. This role works extensively with the Microsoft Azure data ecosystem — including Azure Data Factory (ADF), Azure SQL Database/Synapse, and Azure Data Lake — to ingest, transform, and deliver high-quality, trusted datasets. In addition to building pipelines, the Data Engineer must have the ability to analyze and correlate multiple datasets from ERP, MES, CRM, and other sources, designing star and snowflake schema data models that support performance and scalability. This role ensures that data is accurate, reliable, and available to stakeholders in a timely manner. Essential Duties and Responsibilities Pipeline Development: Design, build, and monitor ADF pipelines, dataflows, and triggers to automate ingestion and transformation of data from multiple systems. SQL Development: Write and maintain stored procedures, views, and reporting tables ; tune queries for optimal performance. Data Modeling: Design and implement star/snowflake schemas to enable efficient reporting and analytics. Data Correlation: Analyze cross-system data relationships to create unified reporting views and metrics. Automation: Develop Python scripts for validation, reconciliation, and process automation where needed. Data Quality: Implement validation checks, reconciliation processes, and alert to maintain data accuracy and reliability. Documentation: Create detailed technical documentation for pipelines, data models, and schedules. Stakeholder Collaboration: Work closely with finance, supply chain, and operations teams to translate requirements into scalable solutions that deliver measurable business value. Qualifications Bachelor’s degree in Computer Science, Data Engineering, or related field. 5+ years of experience in data engineering, ETL, or database development. Proven hands-on experience with Azure Data Factory, Azure SQL Database/Synapse, and Azure Data Lake. Advanced SQL development skills, including stored procedures, functions, indexing, and performance tuning. Expertise in star and snowflake schema design for analytical data models. Familiarity with data governance, security, and best practices in Azure environments. Experience using Python scripting for data transformation and workflow automation. Strong understanding of ETL/ELT design patterns and incremental loading strategies. Excellent problem-solving, critical-thinking, and communication skills.
The Power BI Developer & Administrator is a technical expert responsible for building, optimizing, and maintaining Power BI reporting solutions and infrastructure. This role works closely with data engineers and business analysts to design enterprise-grade data models, write optimized SQL queries, manage Power BI Service workspaces, and ensure secure, high-performing dashboards. This is a hands-on technical role requiring deep experience in Power BI architecture, DAX, SQL, and data modeling along with knowledge of Azure SQL and ADF pipelines. Essential Duties and Responsibilities Power BI Development: Create visually compelling and user-friendly dashboards, paginated reports, and semantic models using Power BI Desktop and Service. Data Modeling & DAX: Develop DAX measures, calculated columns, and reusable data models that follow best practices and support scalability. Environment Administration: Manage Power BI workspaces, datasets, gateways, refresh schedules , and enforce governance policies. Security: Configure and maintain row-level security (RLS) to protect sensitive data. SQL Development: Write and tune SQL queries, views, and stored procedures in Azure SQL to optimize reporting performance. Performance Monitoring: Monitor dataset refresh performance, troubleshoot failures, and recommend optimizations. Collaboration: Work closely with business users, analysts, and data engineers to ensure data pipelines deliver accurate, ready-to-use information. Training & Support: Provide self-service analytics enablement by mentoring power users and documenting data models and report usage. Qualifications Bachelor’s degree in Data Analytics, Computer Science, or related field. 4-6+ years of hands-on experience in Power BI development and administration. Proven experience managing Power BI in an enterprise environment (workspace governance, security, performance tuning). Strong background in SQL development and experience with Azure SQL/Synapse Expert-level knowledge of DAX and Power Query (M language). Strong understanding of data modeling (star schema, snowflake schema, surrogate keys, SCDs). Proficiency with Power BI Service features: deployment pipelines, incremental refresh, composite models. Skilled in query optimization and performance tuning for large datasets. Familiarity with Power BI REST API, PowerShell scripting, and CI/CD pipelines. Nice to Have: Experience with Power Apps and Power Automate for extended automation and workflows. Excellent documentation and communication skills.
The Data Engineer is responsible for designing, building, and maintaining the data infrastructure that powers reporting, analytics, and decision-making across the organization. This role works extensively with the Microsoft Azure data ecosystem — including Azure Data Factory (ADF), Azure SQL Database/Synapse, and Azure Data Lake — to ingest, transform, and deliver high-quality, trusted datasets. In addition to building pipelines, the Data Engineer must have the ability to analyze and correlate multiple datasets from ERP, MES, CRM, and other sources, designing star and snowflake schema data models that support performance and scalability. This role ensures that data is accurate, reliable, and available to stakeholders in a timely manner. Essential Duties and Responsibilities Pipeline Development: Design, build, and monitor ADF pipelines, dataflows, and triggers to automate ingestion and transformation of data from multiple systems. SQL Development: Write and maintain stored procedures, views, and reporting tables ; tune queries for optimal performance. Data Modeling: Design and implement star/snowflake schemas to enable efficient reporting and analytics. Data Correlation: Analyze cross-system data relationships to create unified reporting views and metrics. Automation: Develop Python scripts for validation, reconciliation, and process automation where needed. Data Quality: Implement validation checks, reconciliation processes, and alert to maintain data accuracy and reliability. Documentation: Create detailed technical documentation for pipelines, data models, and schedules. Stakeholder Collaboration: Work closely with finance, supply chain, and operations teams to translate requirements into scalable solutions that deliver measurable business value. Qualifications Bachelor’s degree in Computer Science, Data Engineering, or related field. 5+ years of experience in data engineering, ETL, or database development. Proven hands-on experience with Azure Data Factory, Azure SQL Database/Synapse, and Azure Data Lake. Advanced SQL development skills, including stored procedures, functions, indexing, and performance tuning. Expertise in star and snowflake schema design for analytical data models. Familiarity with data governance, security, and best practices in Azure environments. Experience using Python scripting for data transformation and workflow automation. Strong understanding of ETL/ELT design patterns and incremental loading strategies. Excellent problem-solving, critical-thinking, and communication skills.