Job Title: Senior Data Engineer/Software Developer Company Name: McKesson Job Url: https://jobright.ai/jobs/info/69d6a4b152a5bf5800129f3e Job Description: Ontada · 3 hours ago Senior Data Engineer/Software Developer United States Full-time Remote Senior Level $136K/yr - $227K/yr 7+ years exp 69% FAIR MATCH 64% Exp. Level 44% Skill 79% Industry Exp. McKesson is an impact-driven, Fortune 10 company that focuses on making quality healthcare more accessible and affordable. They are seeking a Senior Data Engineer / Software Developer to support and scale AI-driven data platforms, focusing on building robust AI pipelines and engineering standards for advanced analytics outputs. Healthcare Hospital Biotechnology Health Care Oncology Insider Connection @Ontada 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network View P L C S Philip Thuta Aung & 3 connections From Your Previous Company Find More Connections From Your School Find More Connections Find Any Email Responsibilities Collaborate with data scientists, machine learning engineers, and analytics teams to provide technical direction for AI and advanced analytics platforms Work closely with data warehousing, data engineering, and cloud platform teams to design optimal architectures for AI-driven data solutions Enable the scalable use of AI-generated outputs (e.g., ML predictions, extracted signals, model outputs) in conjunction with structured data to support analytics and oncology insights Partner with senior management and stakeholders to communicate AI system capabilities, implementation approaches, assumptions, and limitations in clear, non-technical language Participate in the full lifecycle of AI and data platform solutions, including planning, design, implementation, deployment, monitoring, and ongoing maintenance Design, build, and maintain production-grade AI pipelines, shared frameworks, and supporting services in the cloud (e.g., AWS, GCP, Azure; Azure preferred) Design, test, and maintain AI-enabled applications and services using modern software engineering and testing methodologies Perform code reviews and help define engineering and AI code standards to ensure high-quality, scalable, and maintainable solutions Develop and maintain scalable data and AI pipelines using Python and supporting technologies Design and implement data architectures that support downstream analytics and access by McKesson analysts and AI data consumers Develop reusable engineering solutions to support AI workloads, model execution, inference pipelines, and integration into downstream data products Evaluate new AI-related tools, frameworks, and platforms to improve scalability, reliability, and developer productivity prior to broader adoption Qualification Represents the skills you have Find out how your skills align with this job's requirements. 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Data Engineering Software Development AI Pipelines Python SQL Data Validation Tools Application Integration Patterns Service-based Architectures Databricks Microsoft Azure Machine Learning Concepts Natural Language Processing NoSQL Databases Analytics Visualization Tools Required Degree or equivalent and typically requires 7+ years of relevant experience A degree in a quantitative field such as Statistics, Machine Learning, Mathematics, Computer Science, Economics, Epidemiology or any other related field 3+ years of relevant experience in data engineering or software development roles supporting analytics or AI‑enabled solutions; healthcare experience preferred Proficiency in Python and SQL, with demonstrated experience developing and maintaining reliable, production‑grade data pipelines and analytical datasets Experience building and supporting internal tools or applications used for data validation, monitoring, review, or operational analytics workflows Working knowledge of application integration patterns, including service‑based architectures and data access layers that support UI‑driven tools Hands‑on experience using Databricks for data processing, analytics development, and collaboration with data science or analytics teams Experience working within Microsoft Azure environments, applying standard engineering practices to deliver maintainable, well‑documented solutions Preferred Master's Degree or higher preferred Experience supporting AI or machine learning solutions in healthcare, oncology, genomics, or medical data domains is preferred but not required Familiarity with machine learning or AI concepts, including model lifecycles, inference workflows, and integration of model outputs into analytics or data products Exposure to Natural Language Processing or other unstructured data workflows, such as text ingestion, extraction, or downstream signal consumption Experience with NoSQL or semi‑structured data stores and alternative data persistence patterns Experience with analytics visualization tools or reporting solutions, and familiarity with modern scripting or web technologies used to support internal tools Benefits Annual bonus Long-term incentive opportunities