Top Data Engineer Jobs in Boston, MA

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

As a Principal Data Engineer, you will design and implement data infrastructure and solutions, collaborating across teams to enhance healthcare data usage.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The role involves designing and building data processing pipelines, managing data accessibility and security, collaborating with teams, and mentoring junior engineers.

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.

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'll design and implement data pipelines on Google Cloud, manage cloud infrastructure, ensure data quality, and enable analytics for marketing insights.

The Principal Data Engineer will lead the design and development of scalable data platforms, optimize data pipelines, and collaborate with multiple teams to enhance data solutions.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

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.

The Principal Data Engineer will lead the design and implementation of scalable streaming data pipelines, optimize real-time data solutions, mentor team members, and advance modernization efforts in data engineering practices.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Senior Bioinformatics Data Engineer will build data pipelines, implement clinical data ingestion, and optimize platform infrastructure while ensuring data quality and compliance with legal standards.

As a Data Engineer at Veeva, you will design and build robust data processing systems, implement ETL workflows, manage data architecture, and ensure data governance while collaborating with cross-functional teams.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

Lead the design and evolution of the enterprise data platform, establish standards, mentor teams, and collaborate across departments to deliver high-quality data products.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Data Engineer builds and maintains scalable data pipelines in Azure, transforming raw data into reliable information for analytics. Responsibilities include designing ETL/ELT pipelines, managing Azure Data Lake, creating dashboards in Power BI, and ensuring data quality and efficiency across platforms.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The Data Engineer will design and maintain ETL/ELT pipelines, optimize data processing jobs, and ensure data quality and availability.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

The Associate Data Engineer aids in data sourcing, transformation, analysis, and development of ETL logic, assisting senior members in maintaining data pipelines and architectures.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.