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Senior / Lead Data Engineer
McKesson Corporation
- Irving, Texas, United States
- Irving, Texas, United States
Über
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We deliver insights, products, and services that make quality care more accessible and affordable. 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. Job title:
Senior/Lead Data Engineer Current Need: The Senior / Lead Data Engineer will be part of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well as maintaining data definitions, business rules, and lineage. Additional duties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conducting different types of testing (functional, regression, exploratory), and preparing and executing test cases and plans. Key Responsibilities
Support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics. Work closely with other Data Engineers and Scientists to deliver results. Enable the BU Driven Data Insights within the PSAS BU data engineering team and collaborate with program managers and internal stakeholders to gather requirements and model criteria. Coordinate and collaborate with program managers and other stakeholders to gather requirements and define modeling criteria. Leverage tools and resources to plan, evaluate, and execute strategic initiatives. Ensure work is conducted in a timely, high-quality fashion by internal and external partners and multi-shore teams/resources. Continuously improve and optimize business processes and operations, identify tech debt across the data landscape, and champion addressal pursuits. Provide data engineering and analytics support as needed. Think with an automation-first, enterprise-first, and reusability mindset. Develop solution architectures and designs and help build consensus among teams to champion data solutions. Collaborate across Agile teams to design, develop, test, implement, and support technical solutions with a full stack of data technologies, tools, and processes. Implement data governance practices with business stakeholders and data governance teams to advocate for data literacy and democratization across the enterprise. Build scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in batch and real-time modes. Analyze, model structured data, and implement/scale algorithms to support analysis using advanced statistical and mathematical methods with distributed and parallel programming techniques. Maintain familiarity with infrastructure technologies and cloud concepts (SaaS, PaaS, DaaS, IaaS) and experience with automation to Infrastructure (IaC). Troubleshoot, monitor, and tune performance of data science analytical solutions and RESTful services. Understand large database mining tools and statistical languages; experience with Snowflake, Databricks, Azure Data Factory, PySpark, Analytical SQL, Splunk, Alation, R, Python; SAP and IBM DataStage are beneficial. Communicate results through reports and presentations. Minimum Job Qualifications
Bachelor’s or master’s degree in data science, Statistics, Computer Science, Economics, or a related field. 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role. Proficiency in SQL, Python, R, or similar analytical tools. Experience with data visualization platforms such as Power BI, Tableau, or Looker. Strong understanding of statistical analysis, predictive modeling, and data mining techniques. Experience with analytical tools such as Databricks & Snowflake. Excellent communication and stakeholder management skills. Ability to manage multiple projects and priorities in a fast-paced environment. Specialized Knowledge/Skills
Leadership Skills: Exceptional ability to lead, mentor, and inspire teams, fostering accountability and innovation. Strategic Thinking: Ability to develop strategies aligned with long-term objectives. Problem Solving: Innovative and creative problem-solving skills for complex challenges. Working Conditions
Traditional office 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. 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. McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson\'s Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!
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Sprachkenntnisse
- English
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