6 jobs found

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 . click apply for full job details

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 . click apply for full job details

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 . click apply for full job details

Machine Learning Engineer / Predictive Analytics Consultant Preferred Locations: Birmingham, AL or Dallas, TX Position Overview We are seeking a hands-on Machine Learning Engineer / Predictive Analytics Consultant to join an established machine learning team focused on scaling predictive analytics capabilities across the business. This role will support high-impact initiatives primarily focused on sales and marketing forecasting, predictive modeling, and business intelligence transformation efforts. The organization has already built out a mature cloud and big data environment and is now focused on increasing delivery capacity, accelerating project timelines, and expanding the team's ability to support growing business demand. This individual will help transition the business beyond traditional dashboarding and reporting into forward-looking predictive analytics and forecasting solutions. This is a highly collaborative but autonomous role requiring someone who can operate with minimal guidance, solve complex business problems independently, and deliver practical machine learning solutions at enterprise scale. Key Responsibilities Design, build, test, and deploy machine learning and predictive analytics models using large-scale structured and unstructured datasets Develop forecasting and predictive modeling solutions supporting sales, marketing, and operational business initiatives Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions Perform exploratory data analysis, feature engineering, model selection, validation, tuning, and performance optimization Work with existing enterprise-scale cloud and big data environments to support scalable analytics initiatives Help increase team throughput by accelerating project delivery and supporting a growing backlog of analytics requests Collaborate with cross-functional teams including analytics, engineering, and business leadership Communicate analytical findings and model outcomes clearly to both technical and non-technical stakeholders Contribute to ongoing improvements in predictive analytics processes, scalability, and operational efficiency Required Qualifications 5+ years of experience in Machine Learning, Predictive Analytics, Data Science, or related data-focused roles Strong hands-on experience with: Python SQL Spark / PySpark (Nice to have) Snowflake (Nice to have) Experience building machine learning and predictive models from the ground up Experience working with large-scale datasets and distributed data processing environments Strong understanding of statistical analysis, forecasting, predictive modeling, and machine learning methodologies Experience operating within cloud-based analytics ecosystems (AWS, Azure, or GCP) Proven ability to work independently with minimal direction Strong analytical thinking and problem-solving skills Ability to translate business problems into scalable technical solutions Preferred Qualifications Experience supporting sales and marketing analytics initiatives Experience with forecasting and business performance prediction models Experience working in enterprise-scale machine learning environments Exposure to Databricks or similar modern data platforms Experience communicating directly with business stakeholders and leadership teams Ideal Candidate Profile The ideal candidate is not someone who simply executes assigned tasks. We are looking for a proactive problem solver who can independently identify opportunities, work through ambiguity, and deliver practical machine learning solutions that drive measurable business value. This individual should be comfortable operating in a fast-paced environment with evolving priorities and growing demand for predictive analytics capabilities. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

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 . click apply for full job details

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 . click apply for full job details