Top Remote Data Engineering Jobs in Boston, MA

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

As a Data Engineer, you'll design and manage the data warehouse and ingestion solutions, ensuring data integrity and quality while collaborating with various teams to support analytics and business intelligence needs.

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

The role involves designing, developing, and executing data conversions from Banner to Workday, including ETL activities and collaboration with stakeholders to ensure data accuracy in a university Workday implementation program.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

As a Senior Analytics Engineer, you will lead the development of analytics pipelines, ensure data quality, and collaborate with cross-functional teams to improve data workflows and reliability.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

The Data Architect will design and implement data architecture solutions using Azure Databricks, focus on data quality, and collaborate with product teams on data projects.