Top Remote Data Engineer Jobs in Boston, MA
As a Staff Data Engineer at Square Banking, you will be responsible for designing large-scale data processing systems, building core datasets, partnering with cross-functional teams, and ensuring data quality and integrity. You will work on the Square Banking Financial Data Mesh Platform using real-time Big Data technologies and Medallion architecture.
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 Senior Staff Machine Learning Engineer at ServiceNow to lead experimental research projects optimizing large language models, innovate on data curation strategies, publish impactful papers, and work autonomously on AI research challenges.
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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 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.
Design and lead implementation of new data systems, create data pipelines, collaborate with engineering teams, work on ML platforms, and optimize data infrastructure. Requires 7+ years of experience in data engineering, real-time data products, and production ML systems.
The Staff ML Generative AI Scientist will be responsible for designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms for healthcare applications. This role involves collaborating with cross-functional teams, conducting research, designing and developing AI models, evaluating their performance, and translating findings into practical solutions. The ideal candidate should have expertise in generative AI, healthcare, and experience in model design and evaluation.
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