Top Data Engineer Jobs in Boston, MA

The role involves collaborating with internal and client teams to develop technology solutions in Data Clean Rooms and Salesforce Data Cloud, applying SQL and ETL knowledge, and mentoring team members. It requires leading project modules, managing technical designs, and contributing to various project deliverables to ensure high-quality client experiences.

As a Senior Associate in Data and Analytics, you'll assist organizations in enhancing their business results through data insights. You'll leverage various technologies to improve operational efficiency, implement data management solutions, and navigate complex business challenges. The role requires a blend of leadership skills, critical thinking, and technical knowledge in data analytics and modeling.

As a Senior Data Science Engineer at DraftKings, you'll drive data science projects from inception to deployment, develop statistical models and machine learning algorithms, collaborate with teams to implement solutions, mentor junior scientists, and innovate content generation approaches to enhance user engagement.

As a Machine Learning Engineer II at Chewy, you will design and deploy machine learning models tailored to HR challenges, mentor junior team members, and lead projects analyzing unstructured data. You will collaborate with various teams to shape AI applications that enhance talent management and employee engagement.

Lead the design and development of advanced data solutions to enhance marketing efforts by creating scalable data pipelines, optimizing database performance, and providing insights for marketing strategies. Collaborate with various teams, establish data governance, and promote best practices in data quality and security.

The Lead Analytics Engineer will develop and optimize data analytics frameworks, leading the engineering strategy, managing projects involving SQL and ETL processes, and mentoring team members. Responsibilities include collaboration with teams for data-driven solutions, implementation of orchestration workflows, and promoting continuous improvement.

As a Data Science Co-op, you will support data science efforts in public health and safety by applying current and emerging machine learning techniques. Responsibilities include collaborating with data scientists and engineering teams, building custom algorithms, and participating in product design and ideation.