Top Remote Data Engineer Jobs in Boston, MA

Design and develop data models in Snowflake with DBT for internal business partners. Write advanced SQL queries for ELT/data warehousing/Business Intelligence. Collaborate with team members and promote business data models for Self Service Reporting. Utilize tools like Fivetran, GitHub, Power BI, SQL, and Python for ETL and data modeling.

Seeking a Staff Machine Learning Platform Engineer to collaborate with various teams to develop and deploy ML applications, build ML infrastructure, utilize Kubernetes and AWS for model serving, and improve processes. Requires 7+ years of ML Platform/ML Ops Engineer experience and proficiency in Python, Kubeflow, LangChain, and LlamaIndex.

As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities into Atlassian products like Jira and Confluence. You will develop and implement machine learning models, analyze large datasets, and collaborate with cross-functional teams. Your work will transform the way teams interact and propel team work forward. The position offers competitive compensation, benefits, bonuses, commissions, and equity.

Design, build, and maintain research data platforms and pipelines for analytics and data science. Collaborate with data scientists to acquire and aggregate data at scale. Develop tools to monitor platform health and performance. Foster environment for data scientists to facilitate learning. Perform data analyses and exploration as needed.

Build very large, scalable platforms using cutting-edge data technologies. Conceptualize and own data architecture for large-scale projects, improve data quality monitoring and validation processes, collaborate with cross-functional teams, and solve challenging data integration problems.

Seeking a Machine Learning Architect to bring the Machine Learning and Artificial Intelligence R&D strategy to the next level, personalize the Qualtrics experience, and showcase Qualtrics data as a core value proposition and competitive advantage.

Seeking a Data Acquisition Specialist to configure and facilitate connections to data sources, work with partners to ensure data quality, and troubleshoot data-related issues. Responsibilities include collaborating with partners, configuring data extracts, documenting processes, monitoring data jobs, and responding to customer support issues. Ideal candidate has experience working with customers directly.