Data Engineer

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. 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 Ontada is seeking a highly motivated and hands‑on Programmer/Analyst (P3) to support the design, development, and optimization of enterprise‑scale healthcare data platforms. This role will play a critical part in building scalable data pipelines, modern analytics solutions, and cloud‑based data engineering capabilities that power reporting, insights, and data‑driven decision making across the organization. The ideal candidate combines deep technical expertise in Databricks , SQL , Python , and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of healthcare data. This individual will collaborate closely with engineering, analytics, product, and business stakeholders to deliver reliable, high‑performing, and scalable data solutions while ensuring compliance with healthcare data governance and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python. Build and optimize ETL/ELT processes to support enterprise reporting, analytics, and operational data needs. Develop efficient data models and database solutions to enable high-performance analytics and business intelligence workloads. Partner with business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions. Create and maintain dashboards, reports, and visualizations using Power BI and Tableau to provide actionable business insights. Ensure data quality, integrity, governance, and security across healthcare data platforms. Support ingestion, transformation, and integration of clinical, claims, provider, and patient datasets. Implement data validation, monitoring, and observability processes to ensure data reliability and operational excellence. Design and support workflow orchestration solutions using Databricks Workflows, Apache Airflow, or similar tools. Contribute to cloud-based data modernization initiatives and enterprise analytics platforms. Develop and maintain CI/CD pipelines and deployment processes utilizing GitHub and modern DevOps practices. Apply AI-assisted development tools to improve engineering productivity, code quality, testing, documentation, and overall delivery efficiency. Participate in Agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives. Troubleshoot complex data and performance issues and implement sustainable solutions. Collaborate effectively with cross-functional teams across engineering, architecture, product management, analytics, and operations. Minimum Requirement Degree or equivalent and typically requires 4+ years of relevant experience. Education Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. Critical Skills 4+ years of experience in data engineering, database engineering, software engineering, or a related technical discipline. 3+ years of hands‑on experience with SQL and relational database technologies. 2+ years of experience with Python development and automation. 2+ years of experience with Databricks, Spark, or modern cloud‑based data engineering platforms. Experience with Power BI and/or Tableau. Experience working in Agile development environments. Experience using GitHub and CI/CD processes. Strong analytical, troubleshooting, and problem‑solving capabilities. Technical Skills Data Engineering & Platform Technologies Strong hands‑on experience with Databricks, including Delta Lake and Apache Spark. Advanced proficiency in SQL for complex queries, performance tuning, data modeling, and optimization. Strong programming expertise in Python for automation, data processing, integration, and analytics. Experience designing and maintaining enterprise‑scale data pipelines and data processing frameworks. Experience with workflow orchestration platforms such as Databricks Workflows, Apache Airflow, or equivalent technologies. Reporting & Analytics Experience developing dashboards, reports, and visualizations using Power BI Ability to transform business requirements into actionable reporting and analytics solutions. Understanding of modern data warehousing, lakehouse architectures, and analytics best practices. DevOps & Software Engineering Strong knowledge of GitHub‑based source control including branch protection policies, pull request reviews, release management, and version control best practices Experience implementing and maintaining CI/CD pipelines using GitHub Actions to automate build, testing, security validation, and deployment processes Familiarity with automated testing, deployment automation, and infrastructure best practices Experience working within Agile software development methodologies Healthcare Data Understanding of healthcare data domains, including: Clinical Data Claims Data Provider Data Patient Data Familiarity with HIPAA and healthcare compliance requirements. Understanding of healthcare data governance, privacy, and security best practices. AI-Assisted Development Experience leveraging AI development tools such as GitHub Copilot or equivalent solutions. Ability to utilize AI for code generation, optimization, testing, documentation, and productivity improvements. Preferred Qualifications Experience working in Azure cloud environments. Familiarity with Databricks, Delta Lake, Lakehouse architectures, and modern data platform design. Experience supporting large‑scale healthcare analytics platforms. Experience with healthcare interoperability standards such as HL7 or FHIR. Experience implementing data quality frameworks and data observability solutions. Experience supporting enterprise reporting modernization initiatives. Exposure to machine learning, predictive analytics, or AI-enabled healthcare solutions. Core Attributes Exceptional problem‑solving skills with the ability to troubleshoot and resolve complex technical and data‑related challenges. Strong ownership mentality with a focus on accountability and delivering results. Naturally curious with a passion for continuous learning, innovation, and technology modernization. Excellent communication and collaboration skills across technical and non‑technical stakeholders. Ability to work effectively in a fast‑paced, data‑driven, and highly collaborative environment. Strong attention to detail and commitment to delivering high‑quality solutions. Demonstrates an enterprise mindset and a customer‑first approach to decision‑making. This position offers the possibility of a hybrid work arrangement based on recent updates to our in‑office/work‑from‑home model. If located in DFW area, the selected candidate may be 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 according to team needs and business priorities. 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 $111,800 - $186,400 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. 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