Data Engineer

CoverMyMeds; Columbus (OH); On-site; USD 106,500 - 177,500; Full time

Job summary

CoverMyMeds is seeking a Specialist, Data Engineering to join our Data Engineering team. You will design, build, and optimize scalable data pipelines and data models supporting reporting and analytics across the organization.

You’ll partner with analysts, architects, and product teams to translate business needs into robust data solutions using Databricks and Azure, with strong SQL development and data governance. A collaborative, results-driven mindset is essential.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
• 4+ years of experience in a dedicated Data Engineering role.
• 4+ years of hands-on experience building and supporting data pipelines and data integration solutions.
• Strong experience with Databricks in a production environment.
• Strong SQL development skills.
• Experience working with Azure-based data services.
• Experience supporting reporting, analytics, systems integration, and data governance initiatives.
• Demonstrated expertise in conceptual and logical data modeling.
• Experience working with both structured and unstructured data.
• Strong written and verbal communication skills.

Responsibilities

• Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs.
• Develop data ingestion and integration processes from various sources.
• Create and optimize data transformations using SQL, Databricks, and Azure-based technologies.
• Support both batch and real-time data processing solutions.
• Implement data quality, validation, and monitoring processes to ensure trusted data assets.
• Troubleshoot and resolve data pipeline performance, reliability, and data quality issues.
• Develop conceptual and logical data models based on business reporting requirements.
• Partner with stakeholders to translate data needs into scalable solutions.
• Work with development teams to understand source systems and build efficient data flows into enterprise environments.
• Support data governance initiatives through standardization, documentation, and quality controls.
• Collaborate with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Leverage modern engineering practices and AI-assisted development tools to improve delivery and efficiency.
• Share knowledge and provide guidance to junior engineers.

Skills

SQL

Databricks

Azure

Data pipelines

Data modeling

Communication

Education

Bachelor's degree in Computer Science/Information Systems

Tools

Databricks

Azure Data Services

SQL

Terraform

Kafka

Job description

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.

CoverMyMeds is seeking a Specialist, Data Engineering to join our Data Engineering team. Our Data Engineering Team is a highly technical group of results-driven Engineers, Analysts, and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives.

What You’ll Do

Data Engineering & Pipeline Development

• Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs.
• Develop data ingestion and integration processes from a variety of structured and unstructured data sources.
• Create and optimize data transformations using SQL, Databricks, and Azure-based technologies.
• Support both batch and real-time data processing solutions.
• Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets.
• Troubleshoot and resolve data pipeline performance, reliability, and data quality issues.

Data Modeling & Business Support

• Develop conceptual and logical data models based on business reporting requirements.
• Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions.
• Work with application development teams to understand source systems and build efficient data flows into enterprise data environments.
• Support data governance initiatives through standardization, documentation, and quality controls.

Team Collaboration

• Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency.
• Share knowledge and provide guidance to less experienced team members.

Minimum Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
• 4+ years of experience in a dedicated Data Engineering role.
• 4+ years of hands‑on experience building and supporting data pipelines and data integration solutions.
• Strong experience with Databricks in a production environment.
• Strong SQL development skills.
• Experience working with Azure-based data services.
• Experience supporting reporting, analytics, systems integration, and data governance initiatives.
• Demonstrated expertise in conceptual and logical data modeling.
• Experience working with both structured and unstructured data.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with data streaming and event-driven architectures such as Kafka.
• Experience with Infrastructure as Code tools such as Terraform.
• Experience supporting large-scale cloud migration or modernization programs.
• Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies.
• Experience supporting business-critical applications and highly available data platforms.
• Experience mentoring junior engineers or providing technical guidance within a collaborative team environment.

Compensation

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.

Our Base Pay Range for this position

$106,500 - $177,500

Equal Employment Opportunity

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.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!