Data Engineer - Databricks, Azure Data Pipelines

McKesson; Columbus (OH); On-site; USD 95,000 - 135,000; Full time

Job summary

CoverMyMeds is seeking a hands-on Data Engineer to join our Data Engineering team. You will design, build, and maintain scalable data pipelines and integrations, transforming diverse data into trusted assets to support analytics and reporting.

The ideal candidate has strong Databricks expertise, experience with large-scale datasets in Azure, and a collaborative mindset to partner with analysts, business stakeholders, and technology teams while mentoring junior engineers.

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 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.
• 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.
• 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.

Skills

Databricks

SQL development

Azure data services

Data pipelines

Data modeling

Communication skills

Technical collaboration

Big data

Real-time processing

Problem solving

Education

Bachelor’s degree in Computer Science or Information Systems

Tools

Terraform

Kafka

GitHub Copilot

Claude Code

Job description

CoverMyMeds is seeking a hands-on Data Engineer to join our Data Engineering team. You will design, build, and maintain scalable data pipelines and integrations, transforming diverse data into trusted assets to support analytics and reporting.

The ideal candidate has strong Databricks expertise, experience with large-scale datasets in Azure, and a collaborative mindset to partner with analysts, business stakeholders, and technology teams while mentoring junior engineers.