Data Engineer Jobs in Massachusetts, United States

Data Engineering team at CVS Health builds and delivers financial data platforms supporting analytics and reporting. The Senior Manager leads a team of data engineers to design, develop, and optimize ETL pipelines, enforce data quality and governance, and architect scalable data infrastructure.

Data Engineer at CVS Health builds and optimizes data pipelines, models, and integrations on GCP, leveraging BigQuery, Dataflow, Cloud Functions, and Cloud Run to support healthcare data at petabyte scale. Works with cross‑functional teams, may work onsite 2 days a week or remote.

Data Engineering team at Amazon builds large‑scale data structures and pipelines for business intelligence analytics. The Data Engineer II designs, develops, implements, tests, documents, and operates high‑performance data models, ETL/ELT processes, SQL and Oracle solutions, and supports OBIEE reporting.

Data Engineering team at CVS Health builds scalable pipelines that power analytics and reporting across the organization. The Manager leads design, build, and maintenance of ETL/ELT workflows, data models, and forecasting models, ensuring data quality and performance.

Data Engineer on the Highmark Health data platform, building and maintaining robust data pipelines and warehouses to support analytics across healthcare operations. The role designs data models, implements governance, and collaborates with IT, product, and analytics teams to ensure data quality and compliance.

CVS Health is building a world of health around every consumer and is looking for a Data Engineer – Real World Evidence Analytics to design and develop highly scalable data platforms. The role focuses on industrializing the collection, storage, modeling, and analysis of billions of healthcare records from heterogeneous channels.

Data Engineering team at CVS Health builds large‑scale data pipelines and structures to enable analytics across the organization. The Senior Data Engineer designs, develops and maintains ETL workflows, creates data marts and models, and partners with Data Science to integrate algorithms into production.

Data Engineering team at CVS Health builds large-scale data pipelines and ETL workflows to support analytics and data science across the organization. The Data Engineer designs and implements data structures, writes Python/Java pipelines, and collaborates with the Data Science team to integrate models into production.

Data Engineering team at CVS Health builds large‑scale data structures, pipelines, and ETL workflows to support business applications and analytics. The Senior Manager leads design and implementation of data marts, real‑time processing, and integration of data science models, while overseeing budget, risk, and people management.

Data Engineering team at CVS Health builds large‑scale data structures and pipelines to support business applications and analytics. The Associate Data Engineer designs and implements ETL workflows, collaborates with Data Science to integrate models, and ensures data quality and performance across cloud environments.

Data Engineering team at CVS Health builds large‑scale data pipelines and ETL workflows to support analytics and AI initiatives. The Staff Data Engineer designs and implements data structures, integrates models with the Data Science team, and ensures data quality across Hadoop, cloud and relational systems.

Data Engineering team at CVS Health builds large‑scale data pipelines and warehouses to enable analytics and AI across the organization. The Staff Data Engineer designs, develops, and maintains high‑performance ETL workflows, data models, and real‑time processing systems while collaborating with Data Science to operationalize models.

Data Engineering team at CVS Health builds large‑scale data pipelines and warehouses to enable analytics and AI initiatives. The Staff Data Engineer designs and implements ETL processes, data models, and real‑time pipelines using Python, Java, Hadoop, Kafka and cloud platforms, collaborating closely with Data Science to operationalize models.

Data Engineering team at CVS Health builds large‑scale data pipelines and warehouses to enable analytics across healthcare and retail domains. The Staff Data Engineer designs and implements ETL workflows, develops data models, and collaborates with Data Science to integrate algorithms into production.

Data Engineering team at CVS Health builds large‑scale data structures and pipelines to support analytics and reporting. The Senior Data Engineer designs and implements ETL workflows, creates data marts, and integrates diverse sources while collaborating with Data Science to operationalize models.

Data Engineering team at CVS Health builds large-scale data pipelines and ETL workflows to support analytics and reporting. The Senior Data Engineer designs and implements data structures, collaborates with Data Science to integrate models, and ensures data quality and performance.

Data Engineering team at CVS Health builds large‑scale data pipelines and warehouses to enable analytics and AI across the pharmacy network. The Senior Data Engineer designs and implements ETL workflows, develops data models, and collaborates with Data Science to integrate machine‑learning models into production.

Data Engineering team at CVS Health builds large‑scale data pipelines and warehouses to support analytics and AI initiatives. The Senior Data Engineer designs and implements ETL workflows, develops data models and marts, and collaborates with Data Science to operationalize models, ensuring data quality and performance across cloud and on‑prem environments.

Data Engineering team at CVS Health builds large‑scale data pipelines and ETL workflows to support analytics and AI models for healthcare and retail. The Senior Data Engineer designs and implements Hadoop‑based data structures, writes Spark/SQL pipelines in Python or Java, and collaborates with Data Science to integrate models, ensuring data quality and cloud scalability.

Data Engineering team at CVS Health builds large‑scale data structures and pipelines to support business applications and analytics. The role designs and implements ETL workflows, creates data marts, and collaborates with Data Science to integrate models into automated processes.