Data Engineer: Real-Time Pipelines & Azure Modeling

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

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.