Top Data Engineer Jobs in Boston, MA

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

Senior Manager in data engineering at PwC, responsible for designing data architecture, leading projects, and ensuring compliance with data governance while mentoring teams and driving strategic project success.

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

As a Distinguished Data Engineer at Capital One, you'll drive adoption of technology, collaborate on data challenges, mentor talent, and influence stakeholders.

The Principal Data Engineer will design and build data solutions and workflows using a range of technologies. Responsibilities include working collaboratively in an agile team to develop data engineering operations focused on data ingestion, curation, and testing.

As a Data Engineer Co-Op, you will design and develop data pipelines, support data platforms, and collaborate in agile teams under supervision of a Senior Data Engineer.

As a Data Engineer, you will build data pipelines, APIs, and contribute to the core product's analytics while collaborating with cross-functional teams.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

As a Senior Data Platform Engineer, you will develop tools for data quality checks, enhance data lineage framework, and improve data infrastructure performance.

As a Senior Data Engineer, you will design and implement scalable data systems, collaborate with teams to create data solutions, enforce best practices, and enhance data processing performance.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

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 Senior Data Engineer II will lead the development of scalable data pipelines, mentor engineers, and drive the data strategy for drug development at Formation Bio.

Design, develop, and manage AWS-based data engineering solutions, mentor junior engineers, and ensure data integrity and compliance.

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 Analytics Engineering Co-op, you will assist in developing data pipelines, data modeling, and quality assurance while working with cross-functional teams to enable insightful analytics for business operations.

As a Data Engineer Intern, you'll optimize SQL queries, develop data pipelines, create visualizations, and collaborate with teams on data workflows.

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.

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

The Data Engineer will design and build data solutions, develop workflows and pipelines, ensure data quality, and maintain documentation.

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

Design and build data pipelines, develop and maintain scalable data infrastructure, collaborate across teams, and implement data quality frameworks.