Top Data Engineer Jobs in Boston, MA

The Data Engineer II will design and build scalable data platforms, manage data pipelines, and ensure data quality while mentoring the team.

This co-op position involves developing data products, design and testing of data pipelines, and delivering insights from complex datasets for business decisions.

This co-op position involves developing data products and solving complex data problems using cloud technologies, SQL, and programming languages while gaining mentorship and business exposure.

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 Data Engineer will design and optimize ETL jobs using PySpark, build data pipelines, and collaborate on enterprise data systems.

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.

The Data Engineer II will design, develop, and improve analytical data models and pipelines, collaborating across teams to meet data needs.

The role involves developing cloud-based analytic solutions, collaborating with teams, and optimizing pricing decisions using advanced analytics and AI.

The Data Engineer II builds and maintains automated data services and pipelines, applies best practices in software development, and ensures data quality and compliance, while also supporting and improving existing services.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Data Engineer designs and maintains data systems and pipelines, manages databases, implements data quality checks, and works with stakeholders to optimize data processing for analysis.

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.

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.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

The Data Architect designs data flows, defines standards, ensures data quality, and collaborates on data strategies while integrating advanced technologies.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

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.

This role involves building and maintaining data pipelines, developing data models, and ensuring data discoverability while enabling scalable analytics on blockchain data.

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

As a Data Engineer, you will design and implement a data platform, maintain data pipelines, work with Airflow and BigQuery, and ensure data compliance while collaborating with teams.

The Principal Data Engineer will own data infrastructure, design data pipelines, drive improvements to data systems, and collaborate across teams for optimal data delivery and performance.

As a Data Engineer, you'll design and maintain data platforms, develop data pipelines, collaborate with teams, and ensure data quality for diverse stakeholders.