Top Senior Data Engineer Jobs in Boston, MA

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

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.

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 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.

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

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.

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

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 Staff Data Engineer will architect and operate the Databricks lakehouse, managing data ingestion, governance, and analytics collaboration with cross-functional teams.

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

Lead design and delivery of data solutions in Adobe Experience Platform, optimize data models, mentor junior engineers, and drive strategy.

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.

As a Senior Data Engineer, you will architect, design, and implement data lakes and warehouses while managing AWS environments, ETL pipelines, and analytics projects. Collaborate with teams to enhance strategic data processes and support healthcare solutions.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.