Top 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.
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Develop robust, scalable production ML systems, collaborate with Data Scientists, provide technical leadership, build data pipelines, and make intelligent technical decisions.
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.
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The Principal Data Engineer will play a critical role within the data team by providing technical leadership, implementation expertise, and guiding other data engineers. This role involves collaborating with various teams to build an analytics platform centered around Snowflake and Tableau.
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.
Staff Machine Learning Engineer position at Chewy.
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.
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.
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.
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