Top Data Engineer Jobs in Boston, MA

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

The Data Engineer II role involves optimizing data architecture, developing data pipelines, and supporting analytics initiatives for cross-functional teams.

Design and implement reusable data patterns, automate quality checks, and enhance pipeline reliability, while developing streaming data applications and overseeing data integration.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

The Data Engineer will assist in testing and deploying applications, implementing data quality and warehouse pipelines, and collaborating with various teams.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Senior Data Engineer will design and maintain data pipelines, develop workflows in Snowflake on AWS, and enhance CI/CD practices in a collaborative environment.

Designs and implements data solutions, manages data integration, develops frameworks and pipelines, and advises on technical strategy while mentoring juniors.

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

The Data Engineer will design, build, and maintain data infrastructure for a clinical data registry, optimizing data pipelines to improve healthcare outcomes over a multi-year project.

The Reinsurance Data Engineer will design enterprise data architecture for reinsurance accounting and risk data, ensuring data integrity and accessibility while mentoring junior staff.

The Senior Data Engineer will enhance and modernize GRS financial data, build and support data pipelines, and collaborate with teams to provide data solutions. Responsibilities include optimizing data cubes, utilizing ETL tools, and mentoring others.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

As a Data Engineer, you will develop scalable data pipelines, optimize performance, ensure data reliability, and collaborate with cross-functional teams on AI-driven features and analytics.

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.