Senior Data Engineer: Cloud Pipelines & Analytics

CVS Health; Maryland City (MD); Vor Ort; USD 83.000 - 222.000; Vollzeit

Benefits dieser Stelle

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement options

Wellness programs

Zusammenfassung

CVS Health in the United States seeks a Senior Data Engineer to design and implement data pipelines powering analytics and data science workloads. This hands-on role requires strong data engineering practices and the ability to translate business requirements into technical solutions.

You will model the Core Data Domain and collaborate with data scientists and analysts to support BI and ML workloads. You will be part of a team delivering scalable data infrastructure, ensuring data quality,

Qualifikationen

• 5+ years of applicable work experience.
• Strong SQL skills with complex queries.
• Python experience, especially ETL pipelines.
• Experience deploying pipelines in a cloud env (Azure/AWS/GCP).
• Knowledge of data governance in the cloud.
• Excellent communication and collaboration with data scientists and analysts.

Aufgaben

• Data modeling and architecture to support analytics and ML.
• Design and build ETL/ELT pipelines ingesting and transforming data.
• Optimize performance with partitioning and clustering to reduce costs.
• Establish data quality standards and governance policies.
• Collaborate with data scientists and analysts to design data solutions.
• Create documentation for pipelines and processes; mentor junior engineers.
• Architect data infrastructure for analytical workloads and data marts.

Kenntnisse

SQL proficiency

Python ETL

Cloud data pipelines

Data governance

Communication skills

Ausbildung

Bachelor's degree

Tools

Azure

AWS

GCP

Jobbeschreibung

CVS Health in the United States seeks a Senior Data Engineer to design and implement data pipelines powering analytics and data science workloads. This hands-on role requires strong data engineering practices and the ability to translate business requirements into technical solutions.

You will model the Core Data Domain and collaborate with data scientists and analysts to support BI and ML workloads. You will be part of a team delivering scalable data infrastructure, ensuring data quality,