Top Data Engineer Jobs in Boston, MA

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.

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

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

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 manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

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 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 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.

The Sr. Data Engineer will design and maintain data pipelines, enhance data reliability, and collaborate with trading strategists to improve platform capabilities.

The Data Engineer will design, develop, and optimize large scale data pipelines and ensure effective data delivery for cross-functional teams.

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 build and maintain data pipelines for analytics, collaborating with teams to implement data models and ensure data quality.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

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.

Design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate with data teams to create solutions for analytics.

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.

The Data Services Integration Engineer automates data workflows, integrates systems using Microsoft Power Platform, and ensures data integrity through governance policies and documentation.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

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