[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. McKesson is an impact-driven healthcare company delivering products, services, and insights to improve access to quality care. The Data Engineer will design, develop, and optimize enterprise-scale healthcare data platforms, pipelines, analytics solutions, and cloud-based data engineering capabilities. The role collaborates with engineering, analytics, product, and business stakeholders while ensuring data quality, governance, security, and regulatory compliance.

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

Skills

• *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
• Degree or equivalent and typically requires 4+ years of relevant experience
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• * 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

Benefits

• Annual bonus may be offered.
• Long-term incentive opportunities may be offered.
• Possibility of a hybrid work arrangement, with at least two days per week on-site at the Las Colinas office for candidates located in the DFW area and the remaining days worked remotely.

Company Overview