Top Data Engineer Jobs in Boston, MA

Lead Data Science Engineer responsible for developing advanced machine learning models, optimizing marketing strategies, collaborating with marketing teams, and integrating data science solutions into production systems. Communicate findings to influence strategic decision-making.

Lead a growing team of Data Scientists and Machine Learning Engineers to create AI models that drive ServiceNow's growth. Define strategies, implement AI use cases, solicit requirements, build models, and teach business teams about the models.

Build, orchestrate, and monitor model pipelines including feature engineering, scaling machine learning algorithms, and implementing ML Ops. Write production-ready code, collaborate with client teams, and contribute to researching latest technologies.

As a Senior Signal Processing Engineer at WHOOP, you will work on deploying AI models on edge devices, optimizing models for inference, developing algorithms for personalized calculations, and collaborating with cross-functional teams to translate member needs to ML solutions.

Global and strategic position accountable for the delivery of enterprise level Data Quality, Data Catalog, Data Security & Audits, Data Acquisitions, and Data Marketplace services at Takeda. Responsible for driving direct business value and experiences for patients through data initiatives and capabilities. Leads discussions with AI teams, influences leadership, creates innovative data management capabilities, and ensures effective data solutions delivery.

Lead Analytics Engineer responsible for developing and optimizing data analytics frameworks and infrastructure. Key responsibilities include leadership, strategic planning, project management, technical implementation, collaboration, continuous improvement. Qualifications include experience in lead analytics roles, expert knowledge of SQL and Snowflake, experience with ETL methodologies and data modeling, proficiency in Airflow, Dagster, and GIT, and programming skills in Python.

As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications and systems at scale. Your role will involve designing, developing, and implementing machine learning applications using various technologies and platforms, ensuring high performance and availability. You will work closely with cross-functional teams to solve real-world business problems and continuously improve machine learning models.