Data Engineer Jobs in Cambridge, MA

As a Senior Data Engineer, you'll manage, optimize, and expand data infrastructure for a clinical data registry, focusing on enhancing data systems and reliability while developing new capabilities.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Software Engineer will manage data collection for model training, operate cloud infrastructure for ingestion pipelines, and collaborate with scientists on data strategies.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

Designs, builds, and supports data warehouse, BI and data visualization solutions. Gathers stakeholder requirements, develops ETL/transformation and integration services, ensures data design, transport, access, quality and metadata, and promotes best practices and standards across BI initiatives.

The Sr Data Engineer will design and optimize data pipelines, ensure data quality, facilitate collaboration among teams, and evaluate new technologies to enhance data engineering capabilities.

The Salesforce Data Cloud Engineer designs and implements data solutions on Salesforce platforms, focusing on data governance, identity resolution, and application development while leading and mentoring the engineering team.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

Lead architecture and implementation of scalable, secure, serverless and event-driven data pipelines and services in a Node.js/TypeScript ecosystem; mentor engineers, improve reliability, observability, CI/CD, and collaborate on scientific data solutions.

Design, build, and maintain scalable semantic 360 data models and transformation pipelines. Implement cleansing, enrichment, business rules, KPIs, and scoring algorithms using SQL and Python/Scala. Employ AI coding assistants and modern AI engineering practices to accelerate development while ensuring traceability, data quality, performance, and alignment with product and analytics needs.

Develop scientific software for AI-native drug discovery, building data pipelines, APIs, and lab automation integrations while collaborating with scientists.

As a Staff Software Engineer, you will build distributed systems, scalable backend services, and data infrastructure for audience measurement in advertising, collaborating with data science teams to optimize data processing.

The Senior Data Platform Engineer will design and enhance the data platform, improve data processes, ensure data security, mentor junior engineers, and collaborate on data solutions.

Transform raw engineering data into structured datasets for AI training, ensuring quality and accuracy while collaborating across teams. Responsible for data processing, CAD designs, and cross-functional partnerships.

As a Senior Principal AI Engineer, you will design and enhance data and AI platforms, create AI starter kits, deliver reference implementations, and advocate for cloud-first development approaches to support scalable AI adoption across Vertex Pharmaceuticals.

The Lead Data Engineer modernizes and optimizes the Medicaid Market's data platform, manages ETL processes, and partners with the Business Intelligence team to enhance data accessibility and reliability, while also leading contract resources in a complex environment.

As a Principal Research Engineer, you will develop scalable data pipelines and generative AI tools for the AEC industry, collaborating across teams to enhance data for machine learning applications.

Lead the design and implementation of a robust data architecture for clinical datasets, focusing on real-time sensor data processing and API integrations with wearables.

The Senior Data Engineer will design cloud-based data storage solutions, develop ETL/ELT pipelines, and support AI operations while managing data access layers and governance best practices.

The responsibilities involve performing tests and evaluations on products or systems to ensure quality and functionality. Specific duties will be defined later.

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

The Infrastructure Data Engineer will lead the design and implementation of data platforms, ensuring data integrity and efficiency while mentoring junior engineers and collaborating with other teams.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

The role involves managing data collection for AI model training at Speechify, optimizing ingestion pipelines on cloud infrastructure, and collaborating with scientists to enhance data quality and scalability.

The Senior Data Engineer develops software and data pipelines, ensures software quality, collaborates with teams, and maintains system documentation.