22 jobs found

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. Define and evaluate key metrics in various product areas. Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. Develop Standard Operating Procedures for human-driven evaluations or labeling. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's in computer science, statistics or equivalent experience At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Experience designing and building machine learning models. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. Experienced building data-driven services and applications for production. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES MS or PhD in computer science, statistics or equivalent experience Experience in digital video advertising or digital marketing domain Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. Experience with Airflow, data warehouse, Databricks or Sagemaker. The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world . Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally . Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. Define and evaluate key metrics in various product areas. Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. Develop Standard Operating Procedures for human-driven evaluations or labeling. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's in computer science, statistics or equivalent experience At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Experience designing and building machine learning models. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. Experienced building data-driven services and applications for production. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES MS or PhD in computer science, statistics or equivalent experience Experience in digital video advertising or digital marketing domain Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. Experience with Airflow, data warehouse, Databricks or Sagemaker. The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer, you will use your deep Salesforce CRM Analytics, scripting, DevOps, and data persistence skills to write and test code that delivers new features for our application portfolio. You will be an important part of a motivated team where we'll be looking for you to be a key contributor to collaborate on application architecture, code quality, and make sure we are building the right things for our users. We want someone that has grown up through the software development ranks - possessing 3 or more years' experience in designing and architecting highly scalable, secure, performant, and usable web applications using Salesforce and CRM Analytics. The ideal candidate would possess skills in Salesforce technology while having experience with cloud platforms (AWS, Azure or GCP), coupled with hands on persistence and data streaming technology experience (Snowflake, Kafka). Experience with Python and Databricks is highly desirable. We would like you to be comfortable performing multiple roles. We strive to get things done quickly, with high quality, and we are committed to the agile methodology. Our work is guided by lean principles (looking at value and looking for waste; not doing anything 'for the sake of doing it'). We're looking for a passionate, impactful, engineer who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A collaborative technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: KEY RESPONSIBILITIES Deliver software projects with high quality on time. Provide domain expertise and innovative solutions to complex business problems Collaborate with leads and contribute to software architectures which are robust, scalable, fault-tolerant, secured and cloud-native Possess Salesforce CRM Analytics solution design and implementation experience Reason logically and creatively, identifying problems, drawing valid conclusions from the data available, and develop effective solutions while applying creative thinking in the design and development of high performing web applications Stay up-to-date on the latest software development technologies and trends Contribute to code reviews and ensure that all code meets quality standards Deliver multiple projects utilizing an Agile methodology Take a high ownership, self-sufficient, hands-on position on the team to contribute and drive quality, maintain application stability Write complex programs, analyze code changes and suggest improvements Check-in valuable, clean and well-documented code on a daily basis that adds new features and capabilities Investigate and resolve any production issues from end user (UI) to persistence layer and work to prevent them Work with the team to make sure all project deliverables are on time and high quality Work collaboratively with cross-functional teams to ensure that software solutions align with business goals Required Education, Experience/Skills/Training: YOU MUST Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using Salesforce and CRM Analytics platform Have Salesforce Certifications Be able to demonstrate significant experience working with relational databases, SQL and newer NoSQL data stores as well as event streaming platforms (Snowflake, Kafka) Have a strong interest in open source technology Possess good communication skills and enjoy mentoring and helping others to succeed as a team Care about your craft and have opinions about the "right" way to do things with technology PREFERRED EXPERIENCE/EDUCATION/SKILLS Master's degree in Computer Science, Software Engineering or related technical discipline is highly desirable Experience in vibe coding and AI tools Previous work experience in Ad Platforms, Accounts Receivable and/or financial applications Experience working with vendor teams to deliver high quality results Knowledge of AWS managed services, performance testing and application profiling Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in New York, NY is between $120,300 - $161,300 and Seattle, WA is between $120,300 - $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Department/Group Overview: Disney Entertainment & ESPN & Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN & Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Content Platform & Operations is ultimately responsible for successfully delivering Disney's entertainment and sports content to millions of people every day. This involves developing, operating, and managing a global content supply chain - the myriad of steps involved from taking a finalized TV show/movie, or live piece of content, from inside Disney to audiences around the globe, in their preferred language and format. This team also manages technology operations in Latin America, Europe and Asia Pacific. Job Summary: We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on supporting our existing Datawarehouse. As a Senior Software Engineer, you will build scalable, reliable, and high-performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and visualizations. You will work closely with product managers, software engineers, data consumers, and cross-functional partners to ensure data is accurate, accessible, and aligned with business needs across Disney's direct-to-consumer lines of business. You will work closely with an existing team working on expanding Disney's internal capability set. Leveraging software engineering principles and cloud infrastructure, you will build robust, extensible services that drive autonomous workflows at scale. Responsibilities and Duties of the Role: Write and Maintain Software Solutions: Design, write, test, and deploy high-quality code to develop reliable, maintainable data solutions. Collaborate with Cross-Functional Teams: Work closely with platform engineers, product teams, and stakeholders to ensure technical solutions effectively support business goals and content strategies. Production Support: Monitor and optimize production systems, ensuring platform stability, performance, and uptime. Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning. Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of relevant industry experience in data engineering or architecture. Proven track record of building and supporting production data pipelines and data platforms. Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks. Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow. Deep understanding of data modeling concepts and robust SQL development. Expertise in designing scalable, cost-effective cloud architecture and infrastructure. Hands-on experience building and maintaining automated CI/CD pipelines. Full-lifecycle application development experience, including unit testing, code reviews, and documentation. Familiarity with Agile/Scrum methodologies in a collaborative team environment. Excellent oral, written, and cross-functional communication skills. Ability to work effectively with geographically distributed teams. Preferred Qualifications Experience with cloud-based data platforms (e.g., data lakes, data warehouses, or managed data services) Knowledge of streaming and batch data processing frameworks Strong understanding of data quality, data governance, and observability practices Experience supporting analytics, reporting, or downstream application use cases at scale Exposure to integrating AI driven solutions into production systems Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain. Required Education Bachelor's degree in computer science or comparable field of study, and/or equivalent work experience. The hiring range for this position in Glendale, CA & Bristol, CT is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs. Responsibilities Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement Contribute to technical documentation and promote knowledge sharing across teams Qualifications Bachelor's degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience 5+ years of experience building and operating ML engineering systems in production environments Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving Experience designing and developing backend microservices for large-scale distributed systems using REST Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) Familiarity with developing and deploying Spark and ML pipelines Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals Experience with observability tools for metrics, logging, and monitoring such as Datadog Experience working in Agile/Scrum development environments Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Title : Data Architect Location : 4 days in office in Topeka, 1 day remote Type : Perm Role: The Data Architect is responsible for establishing and evolving the organization's data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering. Responsibilities: Define, maintain, and evolve the core data architecture, including conceptual, logical, and physical data models, data flows, integration patterns, and platform standards. Design simple, scalable data flows: Source systems ingestion, Databricks, consumption Establish foundational data models (bronze / silver / gold or equivalent) Define standards for data ingestion, transformation, naming conventions, modeling conventions, access and security, and architectural patterns. Translate business and analytics needs into practical data designs and patterns. Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM, metadata, data warehousing, data lakes, BI, and related domains. Support early analytics, BI, and data science use cases. Guide engineers and analysts on best practices in Databricks. Maintain data architecture roadmaps and priorities. Balance short-term delivery with long-term scalability, articulating tradeoffs, costs, and benefits of different options. Identify technical debt early and propose incremental improvements. Act as a hands-on advisor to resolve complex data issues, not just a governance role. Evaluate emerging technologies and industry trends to guide future investments and modernization efforts. Expectations: Perform responsibilities independently with minimal oversight. Demonstrate clients core competencies that define how we work, collaborate, and lead. These competencies guide day to day behaviors and decision making, ensuring we instill trust, communicate effectively, value differences and deliver strong results. Consistently takes action in alignment with client values. Provides regulatory reporting support, as needed, and partners with other departments to implement effective policies and procedures that support the requirements of applicable statutes and regulation. Knowledge and Skills: Experience: - Minimum of 8-10 years of experience in data architecture including data modeling, data integration, business intelligence (BI), data marts, data lakes and data warehousing, data architecture and data model design. Education: - Bachelor's degree in computer science or related technology degree. - Professional certificate or a graduate degree highly regarded. Interpersonal Skills: - Courtesy, tact, and diplomacy are essential elements of the job. Work involves a high degree of personal contact with others inside and/or outside the organization for purposes of exchanging information, building relationships, or soliciting cooperation. Other Preferred Skills: Experience with Databricks, Azure Data Factory, and Power BI. Strong understanding of modern cloud data architecture, medallion architecture (bronze, silver, gold), and ELT patterns. Must be able to work and travel independently, manage multiple and competing demands.

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Data Modeler designs and evolves high-quality data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices-including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate as a key contributor within the Data Engineering team, translating business requirements into well-governed logical and physical models that serve analytics, reporting, and emerging AI use cases. While architectural strategy and enterprise standards are set by the Principal Data Engineer and VP of Data Engineering, it will be a critical partner in executing that vision-bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle-from systems of record through the lakehouse to downstream consumers-and who can grow into increasing ownership of semantic and AI-ready data design over time. Outcome and Activities This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross-System Data Lifecycle Awareness: Model data with awareness of the full lifecycle-from systems of record through integration layers to lakehouse and downstream consumers. Ensure models account for how data originates, flows, and is consumed across multiple systems, not just within the big data platform. Semantic Layer and AI-Ready Data: Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly. Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions-business definitions, relationships, and constraints. Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging effort through AI-assisted tooling and programmatic metadata generation. Collaboration and Delivery: Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns). Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams. Governance and Standards: Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC. Support model review processes, change management, and data quality efforts. Identify opportunities to improve modeling approaches or reduce duplication. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: 8+ years of experience in data modeling, data architecture, or analytics engineering roles Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF) Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar) Awareness of how data models serve downstream AI and analytics use cases, with willingness to deepen expertise in semantic layer design and AI-ready data structures Proficient SQL skills and experience working closely with data engineers on ELT pipelines Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar) Understanding of data governance concepts including lineage, metadata management, and data quality Strong communication skills and ability to collaborate across technical and business teams Self-directed and comfortable operating with autonomy while working within established architectural direction Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks Preferred: Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog) Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)-deep expertise not required, but curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation: A competitive base salary range from $114,000 - $167,000. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity . click apply for full job details

We are seeking a skilled Data Engineer with strong Databricks expertise to support Coast Guard data modernization, analytics, and cloud transformation initiatives. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data lakehouse solutions, and cloud-based data platforms that enable efficient data integration, storage, processing, and analytics.The candidate will work closely with data architects, analysts, developers, and business stakeholders to deliver reliable, secure, and high-performing data solutions.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

As Principal Engineer Databricks / Analytics at Kaiser Permanente, you will lead the design and evolution of our Databricks-based analytics platform. You will architect scalable Spark and Delta Lake solutions, build robust ETL pipelines, and enable high-quality, trusted data for clinicians, analysts, and business leaders. Partnering closely with product, data science, and IT, you will define standards, ensure security and compliance, and mentor engineers. This role combines deep hands-on engineering with technical leadership in a highly impactful healthcare environment.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!