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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** McKesson - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $138,800.0 - $231,300.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Unix, Software as a Service, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Data Systems, IBM InfoSphere DataStage, Distributed Computing Environment, Monitoring of Systems, Infrastructure as a Service (IaaS), Python (Programming Language), Meta-Data Management, Microsoft SQL Server, SAP ERP, Platform as a Service (PAAS), Power BI, SAP (Applications), SQL Databases, Enterprise Software Applications, Azure Data Factory, Snowflake, Technical Debt, Pyspark, Information Technology, Data Analytics, Data Management, Restful APIs, Splunk, Data Pipelines, Databricks - **Published:** June 5, 2026 - **Apply:** https://mckesson.wd3.myworkdayjobs.com/en-US/External_Careers/job/USA-VA-Remote/Lead-Data-Engineer_JR0147056 ## About the Role * Strong experience with modern data platforms including Databricks, Snowflake, and Azure Data Factory * Proficiency in SQL, Python, and/or R for data analysis and engineering * Experience with reporting and visualization tools such as Power BI * Knowledge of legacy and enterprise systems such as SAP, SQL Server, DataStage, and Unix scripting * Strong understanding of data engineering, analytics, and large-scale data processing * Experience with distributed data processing tools (e.g., PySpark) * Familiarity with tools like Splunk, Alation, and data governance frameworks * Strong leadership, delegation, and stakeholder management skills * Ability to manage multiple priorities in a fast-paced environment * Strong problem-solving and strategic thinking capabilities * Understanding of distribution or supply chain business environments * Experience working with Databricks and Snowflake * Excellent communication and stakeholder management skills * Ability to manage multiple projects and priorities, * Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field * 7+ years of experience in data analytics or data engineering * At least 2 years of experience in a leadership or mentorship role Preferable Skills & Experience * Experience supporting KTLO / operations-focused data environments * Knowledge of SAP and IBM DataStage * Experience with RESTful services and data platform monitoring tools * Exposure to advanced analytics, econometrics, or operations research * Experience working in agile delivery environments * Strong focus on automation and infrastructure as code (IaC) * Experience in enterprise-scale data governance and metadata management ## Description We are seeking a technically strong and operationally focused Lead Data Engineer to manage the day-to-day operations of PSaS Data & Analytics platforms. This role focuses on Keep the Lights On (KTLO) activities, ensuring reliable platform performance, SLA adherence, and continuous improvement across data systems., * Own and manage day-to-day operations of Data & Analytics platforms, ensuring SLA-driven support and service delivery * Support cross-functional teams by delivering data insights for complex business problems * Collaborate with data engineers, data scientists, and stakeholders to deliver data-driven outcomes * Gather requirements, define data models, and support solution design with architects and engineering teams * Perform data exploration, analysis, and maintain data definitions, business rules, and lineage * Drive documentation, testing (functional, regression, exploratory), and execution of test plans * Build, enhance, and support scalable data pipelines (batch and real-time) across multiple systems * Implement data governance practices and promote data literacy across the organization * Identify and address technical debt; continuously improve and optimize processes * Monitor, troubleshoot, and tune performance of data platforms and analytical solutions * Champion automation-first, enterprise-first, and reusable solution design principles * Support infrastructure and cloud-based solutions including SaaS, PaaS, IaaS, and IaC practices * Communicate insights and results through reporting and presentations ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)