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. This role is responsible for designing and operating reliable, scalable data workflows on the Databricks platform, with a strong focus on data process monitoring, job optimization, and data quality. Candidates should have advanced Databricks expertise and solid practical understanding of enterprise database systems (Oracle, PostgreSQL, MongoDB). Key Responsibilities - Build, optimize, and maintain batch and streaming data pipelines using Databricks, Apache Spark, and Delta Lake for cloud analytics workloads. - Monitor, troubleshoot, and report on the status and health of data pipelines and processing jobs using Databricks-native tools, logs, and dashboards to ensure timely and reliable data delivery. - Analyze and resolve job failures, resource bottlenecks, and data quality issues, escalating problems as needed and providing root-cause analysis. - Apply strong SQL and data modeling knowledge (from Oracle, PostgreSQL, MongoDB) when creating, transforming, and validating large data sets to support a variety of business and analytics use cases. - Implement and enforce data security controls, encryption, and access policies within Databricks, following industry best practices and healthcare compliance requirements. - Work with data governance, compliance, and IT security teams to continuously evaluate and improve system security, privacy and regulatory alignment. - Document pipeline architecture, monitoring processes, and standard operating procedures for the data engineering team and other stakeholders. - Collaborate with business intelligence, analytics, and data operations teams to deliver high-quality data with consistent performance and availability. Minimum Requirement Degree or equivalent and typically requires 4+ years of relevant experience. Critical Skills - 4+ years of hands-on experience with Databricks and Apache Spark in a cloud or enterprise setting. - Experience with data process monitoring tools, alerting automation, and dashboarding inside Databricks. - Advanced knowledge of Databricks jobs, job monitoring, error handling, and performance metrics tools. - Good understanding of database fundamentals, including SQL, table design, indexing, and troubleshooting (Oracle, PostgreSQL, MongoDB). - Experience building, documenting, and supporting reliable production-grade data workflows. - Proficient in Python and SQL for data engineering and automating monitoring/reporting tasks. - Bachelor’s degree in computer science, Information Systems, Engineering, or related discipline. Preferred Skills - Understanding of Delta Lake and lakehouse. - Experience with Azure cloud environment security, job orchestration, and production support best practices. Candidates must be authorized to work in USA. Sponsorship is not available for this role. 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 $110,800 - $184,600 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: careers.mckesson.com. 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 welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com. Join us at McKesson!

Mercury is building a banking* stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners’ financial lives. We’re looking to hire a Senior Disputes QC Specialist to support consumer and business banking dispute quality control. As a Senior Disputes QC Specialist, you will be responsible for implementing and executing dispute quality processes and procedures. This includes conducting quality assessments, creating reports, performing quality trend analysis, and driving continuous improvement by translating quality insights into actionable strategies. You will also leverage your expertise to contribute directly to ongoing projects that advance Mercury’s dispute program. *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC. Here are some things you’ll do on the job: - Complete manual quality assessments of dispute resolution processes, ensuring adherence to policies, procedures, and regulatory standards. - Create quality dashboards and trend reports. - Provide actionable insights and recommendations based on quality assessments to drive continuous improvement across the dispute program. - Drive quality calibration with internal and external stakeholders. - Assist in the development, refinement, and operationalization of dispute quality processes and procedures. - Maintain up-to-date knowledge of industry best practices, compliance regulations, and internal policy changes to ensure quality standards are met. - Participates in special projects, internal audits, and process improvements in support of quality control initiatives. You should: - Have 4+ years of experience in the finance industry focusing on quality for card and ACH transaction disputes - Have a strong understanding of Reg E dispute requirements - Have familiarity with Mastercard and/or Visa chargeback rules - Be a highly motivated self-starter, comfortable working within a high risk environment under minimal supervision - Have some product sense and knowledge of banking products such as ACH, International Wires, SWIFT, checks, and debit cards - Exercise empathy and understanding when communicating with team members - Communicate complicated concepts with efficiency and clarity - Be curious about the US banking system, startups, and ecommerce companies The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: - US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $120,600 - $150,700 - US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $108,500 - $135,600 - Canadian employees (any location): CAD $113,900 - $142,400 Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. [Please see the independent bias audit report covering our use of Covey for more information.] #LI-AR1

• Design and implement cloud-based data platforms, pipelines, and data hubs for client engagements • Support modernization and migration of legacy data systems to cloud-native architectures • Build and maintain high-quality, scalable data pipelines with strong observability and reliability • Combine data from multiple sources to create comprehensive, trusted data assets • Set up cloud compute and storage (AWS, Azure, SaaS/PaaS, SSO) based on project requirements • Design and implement centralized Data Hubs supporting AI/ML, KPI dashboards, SSO, and integrations across platforms (e.g., MarTech, eCommerce, EdTech, DXP, learning systems) • Develop reusable components for ingesting, normalizing, transforming, and serving data (DWH, reporting, dashboards, AI/ML use cases) • Implement lightweight, effective data modeling strategies focused on performance and maintainability • Ensure high availability, data quality, observability, governance, and cataloguing best practices

• Design and implement cloud-based data platforms, pipelines, and data hubs for client engagements • Support modernization and migration of legacy data systems to cloud-native architectures • Build and maintain high-quality, scalable data pipelines with strong observability and reliability • Combine data from multiple sources to create comprehensive, trusted data assets • Set up cloud compute and storage (AWS, Azure, SaaS/PaaS, SSO) based on project requirements • Design and implement centralized Data Hubs supporting AI/ML, KPI dashboards, SSO, and integrations across platforms (e.g., MarTech, eCommerce, EdTech, DXP, learning systems) • Develop reusable components for ingesting, normalizing, transforming, and serving data (DWH, reporting, dashboards, AI/ML use cases) • Implement lightweight, effective data modeling strategies focused on performance and maintainability • Ensure high availability, data quality, observability, governance, and cataloguing best practices