Top Data Engineer Jobs in Boston, MA

Develop and optimize AI models and algorithms while engineering data solutions in a collaborative environment to improve healthcare outcomes.

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

Design and optimize data pipelines for integration and analysis, ensuring data quality while collaborating with a cross-functional scrum team.

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

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.

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

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 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.

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

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.

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 Data Analytics Engineer Intern, you will develop data solutions, partner with teams, enhance data infrastructure, and innovate within analytics projects for Arity.

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.

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.

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.

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Data Engineer, you will design and implement data platform capabilities, support compliance, and ensure secure data consumption while mentoring clients and improving data pipelines.

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