Top Hybrid Data Engineer Jobs in Boston, MA

Provide technical leadership in architecting and delivering end-to-end solutions, collaborate with other teams, design and build reusable components, identify and tackle data issues, and build deployment frameworks.

Join Takeda as an Enterprise Data Catalog Owner, where you will implement an Enterprise Data Catalog and drive the availability, searchability, and quality of data throughout the organization. You will configure and maintain enterprise templates, execute APIs and processes, establish connectors, develop metrics, and serve as a subject matter expert for the data catalog. Minimum qualifications include a degree in Computer Science/Information Systems and 7 years of relevant experience in application design and implementation.

The Senior Machine Learning Engineer at Klaviyo will build foundational models to extract insights from data streams, applying cutting-edge techniques in machine learning to generate value for customers by personalizing messages.

Design, build, and maintain scalable data models using SQL and dbt for data marts. Collaborate with stakeholders to gather business requirements, create explores in Looker, drive best practices, mentor junior team members, and lead architecture design within Snowflake. Engage decision makers and contribute to platform ownership tasks.

ZS is seeking a Data Science Engineer to work on predictive modeling for the clinical development ecosystem. Responsibilities include building model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, and writing production-ready code.

Build and design tools and infrastructure to support Data Scientists at Whoop in developing, deploying, and monitoring machine learning models. Work on full stack internal toolset, collaborate with Data Science team, contribute to software feature development, follow best practices, and troubleshoot using various tools.

Hiring a Principal Machine Learning Engineer/Data Scientist at Chewy to work on model development, optimization, tuning, and experimentation. Responsible for collaborating with cross-functional teams to enhance customer experience through personalized recommendations and search functionalities. Requires advanced degree or 10+ years of experience in data science and machine learning.