Senior Data Engineer — Cloud Analytics & Pipelines

CVS Health; Alton (IL); Presencial; USD 83.000 - 222.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Resumo da vaga

CVS Health seeks a Sr. Data Engineer to design and implement data pipelines powering analytic capabilities. This hands‑on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.

You will be part of a dedicated team creating datasets for analytic and data science workloads. You will also have a key role in modelling the Core Data Domain to best support various access patterns and use‑cases.

Qualificações

• 5+ years of applicable work experience.
• Strong proficiency in SQL and experience in developing complex queries.
• Experience in Python, specifically with ETL pipelines.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud environment.
• Excellent communication and interpersonal skills for collaboration with data scientists, analysts, and product owners.

Responsabilidades

• Data Modeling & Architecture: Develop and optimise data models and schemas to support analytics, reporting, and machine learning requirements.
• Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
• Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimise data queries and reduce costs
• Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.
• Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models
• Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers.
• Design and architect data infrastructure analytical workloads. Understanding of data warehousing concepts, dimensional modelling, and building data marts.

Conhecimentos

SQL

Python (ETL)

Cloud platforms

Data governance

Communication

Team collaboration

Formação

Bachelor's degree

Ferramentas

Azure

AWS

GCP

Descrição da vaga

CVS Health seeks a Sr. Data Engineer to design and implement data pipelines powering analytic capabilities. This hands‑on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.

You will be part of a dedicated team creating datasets for analytic and data science workloads. You will also have a key role in modelling the Core Data Domain to best support various access patterns and use‑cases.