Top Remote Data Engineer Jobs in Boston, MA
As a Cloud Data & Analytics Implementation Senior Associate at PwC, you will assist clients in choosing a platform, defining their data needs, and migrating them to a modern cloud data environment using cloud providers such as AWS, Azure, GCP, Snowflake, Databricks, or Teradata. Responsibilities include aligning client data strategies to business strategy and working on complex business issues from strategy to execution.
Design and develop data pipelines, integrate and manage data, implement metadata management and governance, perform performance tuning and troubleshooting, and manage data maturity lifecycle.
The Senior Machine Learning Engineer will develop and deploy AI/ML solutions to transform clinical research, working on data analytics, machine learning algorithms, and research of new technologies. They will collaborate with technical teams, software engineers, and product managers to deliver commercially viable products.
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As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.
Seeking a Director, Data Integration at Arcadia responsible for overseeing claims data integration, leading a team of data engineers, shaping data strategy, and driving the success of data initiatives. The role reports to the VP of Data Operations and plays a critical role in ensuring seamless, accurate, and timely integration of healthcare data.
Senior Data Engineer at Arcadia responsible for designing and building data pipelines to automate data flow between client Claim and Clinical data platforms and the analytic health solution platform. Key role in driving partnership with customers and internal organizations through cutting-edge analytic solutions.
Reorg is seeking a Director of Data Architecture to oversee data architecture related application development, design and build scalable data management applications, and provide technical leadership to the team. Responsibilities include mentoring and managing application development teams, leading the design of enterprise-scale APIs, collaborating with stakeholders, ensuring compliance with standards, and more.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
The Vice President of Data Science at Thumbtack is responsible for leading a team of 40+ Data Scientists across various analytics domains to drive data-driven decision-making and support long-term product strategy. This role involves partnering with senior leaders in product management, engineering, and design to elevate the product development process and achieve business goals.
Senior Analytics Engineer at Spring Health responsible for developing and maintaining core data models, collaborating with finance and data analysts, ensuring data consistency, and driving data quality initiatives.
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