Weyerhaeuser seeks a Principal Data Scientist to shape analytics strategy across our sustainable timberlands and manufacturing operations. You will lead development of advanced models that optimize mill performance, supply chain, and resource planning, using ML, statistics, and optimization at scale. Partnering with forestry, operations, and IT, you'll turn complex data into actionable insights that drive safety, efficiency, and environmental stewardship. You will mentor team members, champion data governance, and help advance innovative, sustainable wood products for North America. Responsibilities Lead development of advanced predictive and optimization models to improve mill efficiency, yield, and quality across wood products operations Partner with forestry, manufacturing, and supply chain leaders to translate business challenges into data science solutions and measurable outcomes Design and implement scalable data pipelines and feature engineering in collaboration with data engineering and IT teams Apply machine learning, statistical modeling, and experimentation to forecasting, process control, and asset performance use cases Guide model deployment, monitoring, and lifecycle management in production environments Mentor data scientists and analysts, setting technical standards and promoting best practices in code quality and documentation Communicate insights and recommendations to senior leadership through clear visualizations and storytelling Ensure data governance, model ethics, and responsible AI practices aligned with sustainability and safety priorities Evaluate and integrate new data sources, including sensor, Io T, and spatial data from forest and mill operations Contribute to analytics strategy and roadmap to advance Weyerhaeuser's digital and sustainability goals Required Skills Machine learning Statistical modeling Predictive analytics Optimization techniques Python RSQLBig data platforms (e.g., Spark, Databricks) Cloud analytics (e.g., AWS, Azure, GCP) Data engineering and pipelines Time series forecasting Experimental design and A/B testing Data visualization (e.g., Tableau, Power BI) MLOps and model deployment Sensor/Io T data analysis Supply chain and manufacturing analytics Version control (Git) Feature engineering Model monitoring and governance Communication and stakeholder management
08/26/2026
Full time
Weyerhaeuser seeks a Principal Data Scientist to shape analytics strategy across our sustainable timberlands and manufacturing operations. You will lead development of advanced models that optimize mill performance, supply chain, and resource planning, using ML, statistics, and optimization at scale. Partnering with forestry, operations, and IT, you'll turn complex data into actionable insights that drive safety, efficiency, and environmental stewardship. You will mentor team members, champion data governance, and help advance innovative, sustainable wood products for North America. Responsibilities Lead development of advanced predictive and optimization models to improve mill efficiency, yield, and quality across wood products operations Partner with forestry, manufacturing, and supply chain leaders to translate business challenges into data science solutions and measurable outcomes Design and implement scalable data pipelines and feature engineering in collaboration with data engineering and IT teams Apply machine learning, statistical modeling, and experimentation to forecasting, process control, and asset performance use cases Guide model deployment, monitoring, and lifecycle management in production environments Mentor data scientists and analysts, setting technical standards and promoting best practices in code quality and documentation Communicate insights and recommendations to senior leadership through clear visualizations and storytelling Ensure data governance, model ethics, and responsible AI practices aligned with sustainability and safety priorities Evaluate and integrate new data sources, including sensor, Io T, and spatial data from forest and mill operations Contribute to analytics strategy and roadmap to advance Weyerhaeuser's digital and sustainability goals Required Skills Machine learning Statistical modeling Predictive analytics Optimization techniques Python RSQLBig data platforms (e.g., Spark, Databricks) Cloud analytics (e.g., AWS, Azure, GCP) Data engineering and pipelines Time series forecasting Experimental design and A/B testing Data visualization (e.g., Tableau, Power BI) MLOps and model deployment Sensor/Io T data analysis Supply chain and manufacturing analytics Version control (Git) Feature engineering Model monitoring and governance Communication and stakeholder management
Job Description Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job Our team is focused on delivering actionable insights in a fast-paced environment to support account management, JB/Alliance partners, and other parts of the commercial organization to drive results. We believe that data should be exciting, and when brought to life through engaging analysis, recommendations, and reporting, can transform business and improve decision-making. Our responsibilities include B2B data, internal and customer-facing reporting, agency performance, corporate profile data management, and other sales reporting. The role will collaborate with Modern Retailing, Agency and Corporate Programs, Sales IT, DEA IT, and other parts of the commercial organization to deliver actionable insights. This position provides opportunities to influence the strategic direction of Indirect and Direct by using data and analytics to identify opportunities to optimize revenue. What you'll do This list is intended to reflect the current job, but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Manage projects to enhance and develop data, models, and analytic processes that support Sales and Revenue Works effectively with internal and external partners (vendors and other organizations within American Airlines) Utilize various databases and programming languages to process data and perform statistical analysis. Identify and implement best practices related to business processes, data governance, and automated solutions. Responsible for validation, data cleansing, maintenance, and reinforcing data integrity to business rules and standards. Keep abreast of industry solutions and ensure that AA leads the analytical space to increase our competitiveness Bridge the gap between raw data and business strategy by extracting insights to solve complex problems by applying statistics, programming, and machine learning to large datasets Collecting, cleaning, and organizing large, complex datasets so they can be analyzed reliably. Interpreting technical results into actionable business strategies and presenting findings to stakeholders All you'll need for success Minimum Qualifications- Education & Prior Job Experience Masters degree plus 2+ years of equivalent practical experience in a quantitative discipline (e.g., Data Science, Applied Mathematics, Statistics, Operations Research, Business Analytics, Computer Science, Engineering, etc.) Experienced with Machine Learning, Data Science, and AI-driven techniques Experience with at least one programming language (e.g., Python, R, Java) Practical experience with data extraction, cleaning, and analysis Preferred Qualifications- Education & Prior Job Experience Experience in Machine Learning, Data Science, and AI-driven techniques Experience with SQL and data visualization (e.g., Tableau) Airline, aviation or transportation industry experience Experience with Cloud Computing and/or Distributed Computing (e.g. Databricks, Spark, AWS) Experience with Microsoft Azure (storage accounts, service principal, Azure Data Factory and active directory) Skills, Licenses & Certifications Advanced proficiency in Microsoft Excel and PowerPoint Ability to perform customer data analysis using complex data sets Inquisitive out-of-the-box thinker who is continuously on the lookout for opportunities to improve and innovate with data science solutions Excellent leadership, communication, creative thinking, analytical and problem-solving skills Ability to move projects forward without deadlines and effectively work with time constraints Ability to work cross-functionally and communicate and work with diverse business groups What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve; inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on lifeâs journey? Feel free to be yourself at American
08/26/2026
Full time
Job Description Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job Our team is focused on delivering actionable insights in a fast-paced environment to support account management, JB/Alliance partners, and other parts of the commercial organization to drive results. We believe that data should be exciting, and when brought to life through engaging analysis, recommendations, and reporting, can transform business and improve decision-making. Our responsibilities include B2B data, internal and customer-facing reporting, agency performance, corporate profile data management, and other sales reporting. The role will collaborate with Modern Retailing, Agency and Corporate Programs, Sales IT, DEA IT, and other parts of the commercial organization to deliver actionable insights. This position provides opportunities to influence the strategic direction of Indirect and Direct by using data and analytics to identify opportunities to optimize revenue. What you'll do This list is intended to reflect the current job, but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Manage projects to enhance and develop data, models, and analytic processes that support Sales and Revenue Works effectively with internal and external partners (vendors and other organizations within American Airlines) Utilize various databases and programming languages to process data and perform statistical analysis. Identify and implement best practices related to business processes, data governance, and automated solutions. Responsible for validation, data cleansing, maintenance, and reinforcing data integrity to business rules and standards. Keep abreast of industry solutions and ensure that AA leads the analytical space to increase our competitiveness Bridge the gap between raw data and business strategy by extracting insights to solve complex problems by applying statistics, programming, and machine learning to large datasets Collecting, cleaning, and organizing large, complex datasets so they can be analyzed reliably. Interpreting technical results into actionable business strategies and presenting findings to stakeholders All you'll need for success Minimum Qualifications- Education & Prior Job Experience Masters degree plus 2+ years of equivalent practical experience in a quantitative discipline (e.g., Data Science, Applied Mathematics, Statistics, Operations Research, Business Analytics, Computer Science, Engineering, etc.) Experienced with Machine Learning, Data Science, and AI-driven techniques Experience with at least one programming language (e.g., Python, R, Java) Practical experience with data extraction, cleaning, and analysis Preferred Qualifications- Education & Prior Job Experience Experience in Machine Learning, Data Science, and AI-driven techniques Experience with SQL and data visualization (e.g., Tableau) Airline, aviation or transportation industry experience Experience with Cloud Computing and/or Distributed Computing (e.g. Databricks, Spark, AWS) Experience with Microsoft Azure (storage accounts, service principal, Azure Data Factory and active directory) Skills, Licenses & Certifications Advanced proficiency in Microsoft Excel and PowerPoint Ability to perform customer data analysis using complex data sets Inquisitive out-of-the-box thinker who is continuously on the lookout for opportunities to improve and innovate with data science solutions Excellent leadership, communication, creative thinking, analytical and problem-solving skills Ability to move projects forward without deadlines and effectively work with time constraints Ability to work cross-functionally and communicate and work with diverse business groups What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve; inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on lifeâs journey? Feel free to be yourself at American
Job Description Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job Our team is focused on delivering actionable insights in a fast-paced environment to support account management, JB/Alliance partners, and other parts of the commercial organization to drive results. We believe that data should be exciting, and when brought to life through engaging analysis, recommendations, and reporting, can transform business and improve decision-making. Our responsibilities include B2B data, internal and customer-facing reporting, agency performance, corporate profile data management, and other sales reporting. The role will collaborate with Modern Retailing, Agency and Corporate Programs, Sales IT, DEA IT, and other parts of the commercial organization to deliver actionable insights. This position provides opportunities to influence the strategic direction of Indirect and Direct by using data and analytics to identify opportunities to optimize revenue. What you'll do This list is intended to reflect the current job, but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Manage projects to enhance and develop data, models, and analytic processes that support Sales and Revenue Works effectively with internal and external partners (vendors and other organizations within American Airlines) Utilize various databases and programming languages to process data and perform statistical analysis. Identify and implement best practices related to business processes, data governance, and automated solutions. Responsible for validation, data cleansing, maintenance, and reinforcing data integrity to business rules and standards. Keep abreast of industry solutions and ensure that AA leads the analytical space to increase our competitiveness Bridge the gap between raw data and business strategy by extracting insights to solve complex problems by applying statistics, programming, and machine learning to large datasets Collecting, cleaning, and organizing large, complex datasets so they can be analyzed reliably. Interpreting technical results into actionable business strategies and presenting findings to stakeholders All you'll need for success Minimum Qualifications- Education & Prior Job Experience Masters degree plus 2+ years of equivalent practical experience in a quantitative discipline (e.g., Data Science, Applied Mathematics, Statistics, Operations Research, Business Analytics, Computer Science, Engineering, etc.) Experienced with Machine Learning, Data Science, and AI-driven techniques Experience with at least one programming language (e.g., Python, R, Java) Practical experience with data extraction, cleaning, and analysis Preferred Qualifications- Education & Prior Job Experience Experience in Machine Learning, Data Science, and AI-driven techniques Experience with SQL and data visualization (e.g., Tableau) Airline, aviation or transportation industry experience Experience with Cloud Computing and/or Distributed Computing (e.g. Databricks, Spark, AWS) Experience with Microsoft Azure (storage accounts, service principal, Azure Data Factory and active directory) Skills, Licenses & Certifications Advanced proficiency in Microsoft Excel and PowerPoint Ability to perform customer data analysis using complex data sets Inquisitive out-of-the-box thinker who is continuously on the lookout for opportunities to improve and innovate with data science solutions Excellent leadership, communication, creative thinking, analytical and problem-solving skills Ability to move projects forward without deadlines and effectively work with time constraints Ability to work cross-functionally and communicate and work with diverse business groups What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve; inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on lifeâs journey? Feel free to be yourself at American
08/25/2026
Full time
Job Description Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job Our team is focused on delivering actionable insights in a fast-paced environment to support account management, JB/Alliance partners, and other parts of the commercial organization to drive results. We believe that data should be exciting, and when brought to life through engaging analysis, recommendations, and reporting, can transform business and improve decision-making. Our responsibilities include B2B data, internal and customer-facing reporting, agency performance, corporate profile data management, and other sales reporting. The role will collaborate with Modern Retailing, Agency and Corporate Programs, Sales IT, DEA IT, and other parts of the commercial organization to deliver actionable insights. This position provides opportunities to influence the strategic direction of Indirect and Direct by using data and analytics to identify opportunities to optimize revenue. What you'll do This list is intended to reflect the current job, but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Manage projects to enhance and develop data, models, and analytic processes that support Sales and Revenue Works effectively with internal and external partners (vendors and other organizations within American Airlines) Utilize various databases and programming languages to process data and perform statistical analysis. Identify and implement best practices related to business processes, data governance, and automated solutions. Responsible for validation, data cleansing, maintenance, and reinforcing data integrity to business rules and standards. Keep abreast of industry solutions and ensure that AA leads the analytical space to increase our competitiveness Bridge the gap between raw data and business strategy by extracting insights to solve complex problems by applying statistics, programming, and machine learning to large datasets Collecting, cleaning, and organizing large, complex datasets so they can be analyzed reliably. Interpreting technical results into actionable business strategies and presenting findings to stakeholders All you'll need for success Minimum Qualifications- Education & Prior Job Experience Masters degree plus 2+ years of equivalent practical experience in a quantitative discipline (e.g., Data Science, Applied Mathematics, Statistics, Operations Research, Business Analytics, Computer Science, Engineering, etc.) Experienced with Machine Learning, Data Science, and AI-driven techniques Experience with at least one programming language (e.g., Python, R, Java) Practical experience with data extraction, cleaning, and analysis Preferred Qualifications- Education & Prior Job Experience Experience in Machine Learning, Data Science, and AI-driven techniques Experience with SQL and data visualization (e.g., Tableau) Airline, aviation or transportation industry experience Experience with Cloud Computing and/or Distributed Computing (e.g. Databricks, Spark, AWS) Experience with Microsoft Azure (storage accounts, service principal, Azure Data Factory and active directory) Skills, Licenses & Certifications Advanced proficiency in Microsoft Excel and PowerPoint Ability to perform customer data analysis using complex data sets Inquisitive out-of-the-box thinker who is continuously on the lookout for opportunities to improve and innovate with data science solutions Excellent leadership, communication, creative thinking, analytical and problem-solving skills Ability to move projects forward without deadlines and effectively work with time constraints Ability to work cross-functionally and communicate and work with diverse business groups What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve; inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on lifeâs journey? Feel free to be yourself at American
Vantor seeks a Principal Applied Scientist to lead high impact data and ML solutions for modern web and cloud products. You will own end to end model development-from problem framing and data exploration to deployment and monitoring-using Python, ML frameworks, and cloud platforms. Partnering with engineering and product teams, you'll design scalable ML services, experimentation frameworks, and analytics that drive measurable business outcomes. You'll set technical direction, mentor teammates, and collaborate closely with clients in a low ego, agile, learning focused environment. Responsibilities Lead design and delivery of applied machine learning and data science solutions for client software products Translate ambiguous business problems into measurable, testable models and experiments Develop, deploy, and optimize production ML pipelines on modern cloud platforms Collaborate with engineers and product teams to integrate models into scalable web applications and APIs Own end to end lifecycle of models, including data exploration, feature engineering, validation, and monitoring Guide technical direction, standards, and best practices for ML, data, and experimentation Mentor data scientists and engineers, providing code reviews and technical coaching Partner with clients to present findings, explain tradeoffs, and align solutions with business outcomes Required Skills Python Machine learning algorithms Deep learning frameworks (Tensor Flow/Py Torch) SQL and data modeling Cloud platforms (AWS/Azure/GCP) MLOps and production ML pipelines Statistical modeling and experimentation (A/B testing) Data engineering with Spark or similar API design and integration Model monitoring and observability
08/25/2026
Full time
Vantor seeks a Principal Applied Scientist to lead high impact data and ML solutions for modern web and cloud products. You will own end to end model development-from problem framing and data exploration to deployment and monitoring-using Python, ML frameworks, and cloud platforms. Partnering with engineering and product teams, you'll design scalable ML services, experimentation frameworks, and analytics that drive measurable business outcomes. You'll set technical direction, mentor teammates, and collaborate closely with clients in a low ego, agile, learning focused environment. Responsibilities Lead design and delivery of applied machine learning and data science solutions for client software products Translate ambiguous business problems into measurable, testable models and experiments Develop, deploy, and optimize production ML pipelines on modern cloud platforms Collaborate with engineers and product teams to integrate models into scalable web applications and APIs Own end to end lifecycle of models, including data exploration, feature engineering, validation, and monitoring Guide technical direction, standards, and best practices for ML, data, and experimentation Mentor data scientists and engineers, providing code reviews and technical coaching Partner with clients to present findings, explain tradeoffs, and align solutions with business outcomes Required Skills Python Machine learning algorithms Deep learning frameworks (Tensor Flow/Py Torch) SQL and data modeling Cloud platforms (AWS/Azure/GCP) MLOps and production ML pipelines Statistical modeling and experimentation (A/B testing) Data engineering with Spark or similar API design and integration Model monitoring and observability
Summary The Data Ops Engineer is responsible for improving, modernizing, and supporting data ingestion operations with a focus on building reliable, scalable, and resilient data pipelines. This role drives enhancements to existing ingestion processes through automation, monitoring, containerization, data quality controls, and operational best practices to improve reliability, reduce manual intervention, and ensure continuity of data operations. The Data Ops Engineer monitors pipeline health, troubleshoots production data issues, supports workflow orchestration and deployment, and maintains operational documentation to ensure trusted, timely delivery of data for analytics, reporting, business operations, and machine learning initiatives. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, operate, and maintain reliable batch and streaming data pipelines that support analytics, reporting, business operations, and machine learning. Modernize existing ingestion workflows by identifying opportunities to containerize solutions for scalability and resiliency. Monitor pipeline health, job performance, data freshness, data availability, and SLA adherence using observability, logging, and alerting tools. Troubleshoot production data incidents, identify root causes, coordinate remediation, and document preventive actions through runbooks and post-incident reviews. Implement data quality checks, schema validation, anomaly detection, and reconciliation processes to improve downstream dataset and dashboard reliability. Support orchestration, scheduling, deployment, and lifecycle management for data workflows using tools such as Azure Data Factory, Azure Synapse, Azure Databricks, cloud-native data services, or comparable platforms. Collaborate with data engineers, business stakeholders, product owners, data analysts, and data architects to understand requirements and resolve operational issues. Improve reliability, scalability, performance, and cost efficiency of data platforms, warehouses, lakes, and integration processes. Maintain documentation for data workflows, operational procedures, dependencies, lineage, ownership, escalation paths, and support processes. Establish or contribute to CI/CD, infrastructure-as-code, environment management, access controls, and governance practices for production data systems. Participate in on-call or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires five (5) to seven (7) years of data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Strong SQL skills and experience working with relational databases, data warehouses, and lakehouse environments. Hands-on experience with ETL/ELT pipelines, workflow orchestration, data transformation, and production data operations. Working knowledge of Microsoft Azure or other cloud platforms, Linux or command-line tools, scripting languages such as Python or Bash, and version control systems such as Git. Familiarity with Azure tools and platforms such as Azure Databricks, Azure Data Factory, Azure Container Apps, Azure Synapse, Azure Event Hubs, and Service Bus. Experience supporting data pipelines, datasets, or platform operations used for AI and machine learning workloads, with an understanding of data quality, observability, governance, privacy, and responsible AI considerations. Understanding of monitoring, alerting, logging, incident response, root cause analysis, and operational runbook development. Experience with data quality, schema management, metadata, lineage, governance, security, and access-control concepts. Ability to analyze pipeline performance, optimize queries, manage dependencies, and improve cost-performance of data workloads. Clear communication skills for translating technical issues into business impact and coordinating with cross-functional teams. Strong problem-solving mindset, attention to detail, ownership, and comfort working in production environments. Pharmacy Benefit Management, healthcare industry knowledge, HIPAA, SOC2, or PBM/pharmacy data workflow experience preferred. Language Skills Ability to read, analyze, and interpret common scientific and technical journals, manuals, financial reports, and legal documents. Ability to prepare reports and correspondence. Ability to communicate effectively with vendors, clients, board members and/or other employees of the organization. Effective project management skills a must. Basic Microsoft Outlook, Project, Excel, Word and Power Point skills required with a basic knowledge and understanding of IT networking principles. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. The above statement reflects the general details necessary to describe the principal functions of the occupations described and shall not be construed as a detailed description of all the work that may be inherent in the occupation. EEO Statement This company is an equal opportunity employers committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. The Company makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation details: 00 Yearly Salary PIcd06fc4ead9d-3114
08/20/2026
Full time
Summary The Data Ops Engineer is responsible for improving, modernizing, and supporting data ingestion operations with a focus on building reliable, scalable, and resilient data pipelines. This role drives enhancements to existing ingestion processes through automation, monitoring, containerization, data quality controls, and operational best practices to improve reliability, reduce manual intervention, and ensure continuity of data operations. The Data Ops Engineer monitors pipeline health, troubleshoots production data issues, supports workflow orchestration and deployment, and maintains operational documentation to ensure trusted, timely delivery of data for analytics, reporting, business operations, and machine learning initiatives. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, operate, and maintain reliable batch and streaming data pipelines that support analytics, reporting, business operations, and machine learning. Modernize existing ingestion workflows by identifying opportunities to containerize solutions for scalability and resiliency. Monitor pipeline health, job performance, data freshness, data availability, and SLA adherence using observability, logging, and alerting tools. Troubleshoot production data incidents, identify root causes, coordinate remediation, and document preventive actions through runbooks and post-incident reviews. Implement data quality checks, schema validation, anomaly detection, and reconciliation processes to improve downstream dataset and dashboard reliability. Support orchestration, scheduling, deployment, and lifecycle management for data workflows using tools such as Azure Data Factory, Azure Synapse, Azure Databricks, cloud-native data services, or comparable platforms. Collaborate with data engineers, business stakeholders, product owners, data analysts, and data architects to understand requirements and resolve operational issues. Improve reliability, scalability, performance, and cost efficiency of data platforms, warehouses, lakes, and integration processes. Maintain documentation for data workflows, operational procedures, dependencies, lineage, ownership, escalation paths, and support processes. Establish or contribute to CI/CD, infrastructure-as-code, environment management, access controls, and governance practices for production data systems. Participate in on-call or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires five (5) to seven (7) years of data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Strong SQL skills and experience working with relational databases, data warehouses, and lakehouse environments. Hands-on experience with ETL/ELT pipelines, workflow orchestration, data transformation, and production data operations. Working knowledge of Microsoft Azure or other cloud platforms, Linux or command-line tools, scripting languages such as Python or Bash, and version control systems such as Git. Familiarity with Azure tools and platforms such as Azure Databricks, Azure Data Factory, Azure Container Apps, Azure Synapse, Azure Event Hubs, and Service Bus. Experience supporting data pipelines, datasets, or platform operations used for AI and machine learning workloads, with an understanding of data quality, observability, governance, privacy, and responsible AI considerations. Understanding of monitoring, alerting, logging, incident response, root cause analysis, and operational runbook development. Experience with data quality, schema management, metadata, lineage, governance, security, and access-control concepts. Ability to analyze pipeline performance, optimize queries, manage dependencies, and improve cost-performance of data workloads. Clear communication skills for translating technical issues into business impact and coordinating with cross-functional teams. Strong problem-solving mindset, attention to detail, ownership, and comfort working in production environments. Pharmacy Benefit Management, healthcare industry knowledge, HIPAA, SOC2, or PBM/pharmacy data workflow experience preferred. Language Skills Ability to read, analyze, and interpret common scientific and technical journals, manuals, financial reports, and legal documents. Ability to prepare reports and correspondence. Ability to communicate effectively with vendors, clients, board members and/or other employees of the organization. Effective project management skills a must. Basic Microsoft Outlook, Project, Excel, Word and Power Point skills required with a basic knowledge and understanding of IT networking principles. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. The above statement reflects the general details necessary to describe the principal functions of the occupations described and shall not be construed as a detailed description of all the work that may be inherent in the occupation. EEO Statement This company is an equal opportunity employers committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. The Company makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation details: 00 Yearly Salary PIcd06fc4ead9d-3114
Summary The Data Ops Engineer is responsible for improving, modernizing, and supporting data ingestion operations with a focus on building reliable, scalable, and resilient data pipelines. This role drives enhancements to existing ingestion processes through automation, monitoring, containerization, data quality controls, and operational best practices to improve reliability, reduce manual intervention, and ensure continuity of data operations. The Data Ops Engineer monitors pipeline health, troubleshoots production data issues, supports workflow orchestration and deployment, and maintains operational documentation to ensure trusted, timely delivery of data for analytics, reporting, business operations, and machine learning initiatives. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, operate, and maintain reliable batch and streaming data pipelines that support analytics, reporting, business operations, and machine learning. Modernize existing ingestion workflows by identifying opportunities to containerize solutions for scalability and resiliency. Monitor pipeline health, job performance, data freshness, data availability, and SLA adherence using observability, logging, and alerting tools. Troubleshoot production data incidents, identify root causes, coordinate remediation, and document preventive actions through runbooks and post-incident reviews. Implement data quality checks, schema validation, anomaly detection, and reconciliation processes to improve downstream dataset and dashboard reliability. Support orchestration, scheduling, deployment, and lifecycle management for data workflows using tools such as Azure Data Factory, Azure Synapse, Azure Databricks, cloud-native data services, or comparable platforms. Collaborate with data engineers, business stakeholders, product owners, data analysts, and data architects to understand requirements and resolve operational issues. Improve reliability, scalability, performance, and cost efficiency of data platforms, warehouses, lakes, and integration processes. Maintain documentation for data workflows, operational procedures, dependencies, lineage, ownership, escalation paths, and support processes. Establish or contribute to CI/CD, infrastructure-as-code, environment management, access controls, and governance practices for production data systems. Participate in on-call or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires five (5) to seven (7) years of data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Strong SQL skills and experience working with relational databases, data warehouses, and lakehouse environments. Hands-on experience with ETL/ELT pipelines, workflow orchestration, data transformation, and production data operations. Working knowledge of Microsoft Azure or other cloud platforms, Linux or command-line tools, scripting languages such as Python or Bash, and version control systems such as Git. Familiarity with Azure tools and platforms such as Azure Databricks, Azure Data Factory, Azure Container Apps, Azure Synapse, Azure Event Hubs, and Service Bus. Experience supporting data pipelines, datasets, or platform operations used for AI and machine learning workloads, with an understanding of data quality, observability, governance, privacy, and responsible AI considerations. Understanding of monitoring, alerting, logging, incident response, root cause analysis, and operational runbook development. Experience with data quality, schema management, metadata, lineage, governance, security, and access-control concepts. Ability to analyze pipeline performance, optimize queries, manage dependencies, and improve cost-performance of data workloads. Clear communication skills for translating technical issues into business impact and coordinating with cross-functional teams. Strong problem-solving mindset, attention to detail, ownership, and comfort working in production environments. Pharmacy Benefit Management, healthcare industry knowledge, HIPAA, SOC2, or PBM/pharmacy data workflow experience preferred. Language Skills Ability to read, analyze, and interpret common scientific and technical journals, manuals, financial reports, and legal documents. Ability to prepare reports and correspondence. Ability to communicate effectively with vendors, clients, board members and/or other employees of the organization. Effective project management skills a must. Basic Microsoft Outlook, Project, Excel, Word and Power Point skills required with a basic knowledge and understanding of IT networking principles. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. The above statement reflects the general details necessary to describe the principal functions of the occupations described and shall not be construed as a detailed description of all the work that may be inherent in the occupation. EEO Statement This company is an equal opportunity employers committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. The Company makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation details: 00 Yearly Salary PIcd06fc4ead9d-3114
08/20/2026
Full time
Summary The Data Ops Engineer is responsible for improving, modernizing, and supporting data ingestion operations with a focus on building reliable, scalable, and resilient data pipelines. This role drives enhancements to existing ingestion processes through automation, monitoring, containerization, data quality controls, and operational best practices to improve reliability, reduce manual intervention, and ensure continuity of data operations. The Data Ops Engineer monitors pipeline health, troubleshoots production data issues, supports workflow orchestration and deployment, and maintains operational documentation to ensure trusted, timely delivery of data for analytics, reporting, business operations, and machine learning initiatives. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, operate, and maintain reliable batch and streaming data pipelines that support analytics, reporting, business operations, and machine learning. Modernize existing ingestion workflows by identifying opportunities to containerize solutions for scalability and resiliency. Monitor pipeline health, job performance, data freshness, data availability, and SLA adherence using observability, logging, and alerting tools. Troubleshoot production data incidents, identify root causes, coordinate remediation, and document preventive actions through runbooks and post-incident reviews. Implement data quality checks, schema validation, anomaly detection, and reconciliation processes to improve downstream dataset and dashboard reliability. Support orchestration, scheduling, deployment, and lifecycle management for data workflows using tools such as Azure Data Factory, Azure Synapse, Azure Databricks, cloud-native data services, or comparable platforms. Collaborate with data engineers, business stakeholders, product owners, data analysts, and data architects to understand requirements and resolve operational issues. Improve reliability, scalability, performance, and cost efficiency of data platforms, warehouses, lakes, and integration processes. Maintain documentation for data workflows, operational procedures, dependencies, lineage, ownership, escalation paths, and support processes. Establish or contribute to CI/CD, infrastructure-as-code, environment management, access controls, and governance practices for production data systems. Participate in on-call or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires five (5) to seven (7) years of data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Strong SQL skills and experience working with relational databases, data warehouses, and lakehouse environments. Hands-on experience with ETL/ELT pipelines, workflow orchestration, data transformation, and production data operations. Working knowledge of Microsoft Azure or other cloud platforms, Linux or command-line tools, scripting languages such as Python or Bash, and version control systems such as Git. Familiarity with Azure tools and platforms such as Azure Databricks, Azure Data Factory, Azure Container Apps, Azure Synapse, Azure Event Hubs, and Service Bus. Experience supporting data pipelines, datasets, or platform operations used for AI and machine learning workloads, with an understanding of data quality, observability, governance, privacy, and responsible AI considerations. Understanding of monitoring, alerting, logging, incident response, root cause analysis, and operational runbook development. Experience with data quality, schema management, metadata, lineage, governance, security, and access-control concepts. Ability to analyze pipeline performance, optimize queries, manage dependencies, and improve cost-performance of data workloads. Clear communication skills for translating technical issues into business impact and coordinating with cross-functional teams. Strong problem-solving mindset, attention to detail, ownership, and comfort working in production environments. Pharmacy Benefit Management, healthcare industry knowledge, HIPAA, SOC2, or PBM/pharmacy data workflow experience preferred. Language Skills Ability to read, analyze, and interpret common scientific and technical journals, manuals, financial reports, and legal documents. Ability to prepare reports and correspondence. Ability to communicate effectively with vendors, clients, board members and/or other employees of the organization. Effective project management skills a must. Basic Microsoft Outlook, Project, Excel, Word and Power Point skills required with a basic knowledge and understanding of IT networking principles. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. The above statement reflects the general details necessary to describe the principal functions of the occupations described and shall not be construed as a detailed description of all the work that may be inherent in the occupation. EEO Statement This company is an equal opportunity employers committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. The Company makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation details: 00 Yearly Salary PIcd06fc4ead9d-3114
