Top Senior Level Data Engineer Jobs in Boston, MA
As a Lead Principal Machine Learning Software Engineer, you will be instrumental in steering the development and deployment of advanced machine learning algorithms. Your responsibilities will include designing system and model architectures, conducting experiments and evaluations, and mentoring ML engineers.
Design, build, and maintain scalable data models using SQL and dbt for data marts. Collaborate with stakeholders to gather business requirements, create explores in Looker, drive best practices, mentor junior team members, and lead architecture design within Snowflake. Engage decision makers and contribute to platform ownership tasks.
Seeking an experienced Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team. Responsible for building self-service tooling for the model lifecycle and collaborating with internal customers to provide sustainable software solutions. Must have expertise in software engineering, machine learning engineering, and experience with the ML lifecycle and distributed systems.
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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.
Takeda is seeking a Data Governance Lead to shape and implement a robust data governance strategy, policies, and standards. The role involves collaborating with stakeholders to drive alignment between data governance and business objectives, assess data needs, and implement metadata management processes.
Engineering Manager role at Klaviyo, responsible for leading and mentoring a team of software engineers in designing and developing distributed data processing systems. Involves coordinating project delivery, improving architectural patterns, making infrastructure decisions, participating in code reviews, and fostering a culture of innovation and collaboration.
Lead a team of data scientists to partner with marketing, sales, growth, and product teams to drive business growth through data-driven insights and analytics techniques. Develop quantitative models, automate reporting, evaluate marketing measurement techniques, and identify opportunities for optimization. Establish scalable data foundations and execution standards for long-term growth. Translate complex concepts into actionable insights for the business.
Seeking a seasoned Enterprise Data Architect to lead data strategy, advanced analytics, cost management, architecture optimization, security, compliance, and innovation. Mentor junior team members and drive performance through innovative data solutions. Must have 10 years of experience in data management and strong skills in relational data modeling, high-volume data pipelines, data warehousing, and data security.
Enforcing data policies, developing ETL/ELT jobs, identifying data integrity issues, training data analysts, optimizing databases, collaborating with data teams
Build and design tools and infrastructure to support Data Scientists at Whoop in developing, deploying, and monitoring machine learning models. Work on full stack internal toolset, collaborate with Data Science team, contribute to software feature development, follow best practices, and troubleshoot using various tools.
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