Top Senior Data Engineer Jobs in Boston, MA

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

The Analytics Engineer will enhance the People Data Warehouse, model data, partner with stakeholders, and ensure data integrity for decision-making.

As a Senior Data Analytics Engineer, you will design data models, collaborate across teams, improve data infrastructure, mentor others, and lead complex analytics projects to drive business outcomes.

The Lead Data Engineer will develop and maintain data models, manage dbt projects, and implement data engineering solutions, while collaborating with stakeholders to enhance investment data integrity and delivery.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The Sr. Informatica MDM Data Engineer will lead the development and management of MDM platforms, ensuring data integration, quality, and governance. Responsibilities include designing data pipelines, maintaining data models, and collaborating with cross-functional teams to align MDM initiatives with business objectives.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

The Data Engineer will develop and maintain data pipelines for healthcare analytics, ensuring data quality, compliance, and integration across diverse sources while supporting enterprise data strategy.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

As a Data Engineer, build efficient data processing systems, model data to support analytics, and collaborate with teams to enhance Netflix's data-driven culture.

The Senior Data Engineer will design and develop data pipelines, ensure data quality, lead cross-functional initiatives, and mentor others while driving impact through efficient infrastructure.

As a Senior Data Engineer, you will design and build data products, establish best practices, and lead technical initiatives in data architecture and workflows within the single-family rental industry.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.