Data Engineer Jobs in Cambridge, MA

Design, build, and maintain data pipelines using Snowflake and AWS; integrate various data sources and optimize performance while ensuring data quality and governance.

The Data Engineer will design and build data solutions, develop ELT jobs, ensure data quality, and collaborate with technical teams to align data strategies with business goals.

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 an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

Design and optimize scalable ELT data pipelines using Python and Spark, collaborate on data solutions, and leverage AI tools to enhance development efficiency.

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 will design and develop data platforms, manage ETL pipelines, optimize data models, and ensure data governance within an Agile team.

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.

The Senior Data Engineer will develop data governance frameworks, ensure data quality, manage tools for metadata and lineage, and collaborate with teams for data policies and training.

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 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.

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.

Design, build, and operate large-scale distributed data systems and infrastructure to support engineering teams. Write high-quality code, provision infrastructure, maintain production systems, and collaborate cross-functionally to enable data processing, storage, and governance at scale.

The Senior Data Center Engineer II will deploy, maintain, and scale data center infrastructure, troubleshoot hardware issues, and mentor junior engineers while participating in an on-call rotation.

The Data Engineer will design and optimize ETL jobs using PySpark, build data pipelines, and collaborate on enterprise data systems.

As a Data Engineer, you'll build and maintain scalable ETL pipelines, manage data architecture, and collaborate with teams for data integration solutions.

Lead and manage the Data Engineering team to support pharmaceutical research by developing and maintaining data solutions, collaborating with team members, and innovating processes.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

The Data Engineer will build data systems for drug discovery, managing integration of biological data and developing data pipelines on AWS.

The Senior Data Center Engineer II is responsible for deploying, maintaining, and troubleshooting infrastructure within large-scale data centers, including servers, networking equipment, and GPUs. This role involves collaborating with teams for infrastructure expansion and participating in on-call support.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Software Engineer II on the Data Automation team, you will design and maintain the analytics infrastructure, collaborating with teams to ensure high system performance and reliability.