Data Engineer Jobs in Cambridge, MA

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.

Design and develop web applications for ML dataset generation and data search. Mentor junior engineers and collaborate with cross-functional teams.

Partner with stakeholders to define metrics and deliver dashboards and insights. Build and optimize data models in Amazon Redshift, design and maintain scalable ETL pipelines using Python and Apache Airflow, monitor data quality and pipeline performance, and participate in code reviews and engineering best practices to support analytics and reporting needs.

Build and operate LLM-augmented ETL pipelines and domain-specific information retrieval systems. Design, deploy, and optimize production-grade data ingestion, databases, and infrastructure on AWS. Own projects end-to-end, collaborate with leadership and customers, and refine data priorities based on user feedback.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.

Design and implement scalable LLM- and RAG-based systems integrating knowledge graphs and multi-omics data, build agentic orchestration and conversational AI, collaborate with data engineering and experimental scientists, and deploy pipelines that synthesize biological information to support therapeutic discovery.

Lead design, implementation, and optimization of data pipelines, models, reports and Power BI/SSMS dashboards for public safety clients. Configure analytics databases, train agency users, produce instructional materials, mentor junior engineers, and serve as technical SME and escalation point for multi-agency analytics implementations.

Join an elite engineering team to develop massive data processing systems using Core Java and AWS, focusing on Big Data and performance optimization.

As a Principal Software Engineer, you will architect WEX's Data-as-a-Service platform, set standards, guide strategy, and mentor teams while driving innovation with modern technologies.

The Senior Data Engineer will design secure data storage solutions, develop ETL/ELT pipelines, manage data access layers, and ensure data quality and infrastructure performance, supporting AI operations and data governance across teams.

As a Data Scientist/Engineer, you will build and productionize data pipelines, design LLM-based solutions, and integrate Agentic AI technologies. Your role involves evaluating decision-making frameworks, ensuring responsible AI practices, and engaging with clients for feedback on prototypes and roadmaps.

The Staff Engineer will lead technical direction on data infrastructure, focusing on ingestion frameworks, storage architecture, and orchestration to support scientific workflows. Responsibilities include mentoring, ensuring reliability, and collaborating with cross-functional teams to establish coding standards and data integrity.

The Senior Data Engineer will build data pipelines and infrastructure, modernize legacy systems, and ensure data reliability for analytics at ABCorp.

The role involves developing applications and tools for data visualization in clinical trials, managing projects, and ensuring compliance with data standards. Responsibilities include programming in R, creating dashboards, and integrating data across clinical systems.

The Principal Software Engineer will design and build APIs, optimize database architecture, enhance performance, and collaborate on cloud infrastructure for scientific applications.