Data Engineer Jobs in Cambridge, MA

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.

Hands-on data and integration engineer responsible for building, supporting, and automating Canoe-related workflows and integrations. Develop and maintain data pipelines, SQL queries, validations, reconciliations, and monitoring to deliver alternative investment data to Snowflake, Addepar, reporting tools, and downstream systems. Troubleshoot data quality issues, support production feeds, manage exceptions, document mappings and runbooks, and collaborate with investment, reporting, technology, and vendor teams. Hybrid role requiring Baltimore office presence three days per week.

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.

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.

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

Design and build scalable, semantically consistent 360 entity data models and transformation pipelines. Implement cleansing, enrichment, KPIs, scoring, and business rules in SQL and Python/Scala, ensure data quality, lineage, and performance at scale. Use AI coding assistants and SDD to accelerate development, create tests and documentation, and collaborate with domain experts, data scientists, and product teams to deliver trusted, reusable data assets.

The Senior Data Engineer will design, implement, and manage data pipelines for real-time analytics and ML training datasets, ensuring efficient data flow and quality in a hybrid environment.

As the Distinguished Architect, you will lead the design and implementation of CloudZero's next-generation data platform, focusing on streaming architecture, data modeling, and optimizing query engines to enhance cost attribution and performance at scale.