Top Data Engineer Jobs
Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Looking for a Machine Learning Operations Engineer to scale and support machine learning capabilities at Squarespace. Responsibilities include deploying, monitoring, and optimizing production ML models, developing automated pipelines, and improving CI/CD practices. Bachelor's degree and experience in ML Ops required. Hybrid role based in NYC office. Competitive cash compensation range with additional benefits and perks offered.
Experienced database engineer needed to build sustainable solutions for data storage and streaming platforms at DigitalOcean. Responsibilities include administration, performance tuning, architecting infrastructure, delivering managed data platform solutions, creating tooling and automation, and establishing best practices for development and operations. Candidate should have experience with Clickhouse, Kafka, Redis, SQL, Python, Bash, Linux, and configuration management tools.
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Lead Data Management role focusing on data quality, metadata management, and sensitive data management. Responsible for implementing data quality controls, overseeing metadata management, and developing solutions for data steward activities. Requires 4+ years of relevant IT work experience.
Responsible for administering Microsoft SQL Server Databases, troubleshooting database issues, developing recovery procedures, and supporting database backup/recovery processes. Collaborate with developers to optimize SQL queries and ensure efficient data access. Maintain logical and physical database models and perform routine maintenance tasks such as database tuning and capacity planning.
As a Staff Machine Learning Engineer, you will lead the development of machine learning models to simplify shopping experiences for pet parents and improve product discovery on Chewy's platform. You will collaborate with product and engineering teams, publish research papers, and deploy solutions at scale. Your role will involve optimizing relevance, ranking, and predictive models to enhance Chewy's advertising solutions.
Staff Machine Learning Engineer position at Chewy
Design and implement large-scale data models, reports, and BI solutions for analytics and deep learning. Develop data ingestion routines and provide online reporting using business intelligence tools. Translate business requirements into scalable solutions within the data architecture. Produce comprehensive documentation, metadata, and insights.
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. Collaborate on data flows for new feature prototypes. Perform data analyses and exploration as needed.
The Operations Data Analytics Senior is responsible for independently leading analytics projects to provide insights for business decisions and managing cross-functional stakeholders. This full-time seasonal role lasts 6-8 months and offers the opportunity to work on complex operational improvement projects.
The Operations Data Analytics Senior is a key role on the Operations Strategy & Excellence Team, responsible for leading complex operational improvement projects by providing insights through data analysis.
The CX Data & Insights Team Leader at Gusto is responsible for delivering actionable insights and streamlined reporting to drive improvements in customer experience processes and tools. The role involves leading data projects, providing technical leadership, identifying key metrics, and collaborating with cross-functional teams to improve the customer experience.
The CX Data & Insights Team Leader at Gusto is responsible for delivering actionable insights and streamlined reporting, driving improvements in processes, performance, and tools. They will lead strategic direction for Gusto's Engagement Data & Insights workstreams and provide quantitative insights to optimize impact and inform future learning and CX roadmaps.
Lead the CX Data & Insights team to deliver actionable insights and drive improvements in processes, performance, and tools for customer experience. Responsible for building reporting solutions, prioritizing analytics projects, and providing quantitative insights to inform future strategies. Collaborate with CX, Product, and Data Science teams to lead change management and enhance customer experience.
CoreWeave, a specialized cloud provider, is hiring a Data Engineer to build and maintain data infrastructure, optimize data models, develop data pipelines, and collaborate on data integration projects. Responsibilities include data security, documentation, and compliance with regulations. Qualifications include 5-10 years of experience, proficiency in programming languages, SQL skills, familiarity with cloud platforms and big data technologies, and strong problem-solving abilities. Salary ranges from $135,000 to $155,000 per year based on location and expertise.
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