Top Data Engineer Jobs in NYC, NY
As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
Machine Learning Engineer on the Embeddings team at Liftoff.
Ontra is seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. The role requires 5+ years of core data engineering experience with technical skills in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
As a Manager in Test Data Management, responsibilities include developing new skills, resolving issues, coaching team members, analyzing complex ideas, using data for decision-making, and managing global trends.
As a Manager in our Cybersecurity, Privacy, and Forensics team, you will be responsible for driving strategic data governance programs, data analytics, innovation, and cyber resilience activities. You will help clients manage information risk and maximize data assets by implementing governance controls.
Join our Cybersecurity, Privacy, and Forensics team to work on strategic programs, data analytics, and technical implementation activities focusing on information governance. Manage projects related to data governance, data modeling, ontologies, and knowledge graphs to support client use cases.
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Seeking an experienced professional to lead data migration initiatives, develop and execute data modernization roadmaps, drive innovation, optimize resource allocation, ensure fiscal responsibility, and champion stakeholder engagement. Responsibilities include overseeing transformation of legacy data systems, enhancing data quality and accessibility, and fostering innovation through DataOps principles.
Senior Machine Learning Engineer responsible for developing machine learning model pipelines, architecting APIs, and creating microservices. Stay updated on latest ML technologies, implement best practices, and collaborate with cross-functional teams for product delivery.
The Senior Database Engineer at ServiceNow will be responsible for ensuring the production stability of customer applications and infrastructure services from an operations perspective. The ideal candidate will have a strong background in database technologies, performance tuning, and troubleshooting skills. They will work in a fast-paced environment, supporting the infrastructure and learning the platform end to end.
This role involves becoming an SME in production triage, gaining broad knowledge across ServiceNow's application and codebase, and working with various groups within Engineering/Operations. Responsibilities include identifying bugs, solving performance issues, and developing automation tools for day-to-day operations.
Play a major part in building AI and Machine Learning solutions that transform user experience and workflow efficiency of enterprise services. Collaborate with a team of developers, product managers, and quality engineers to produce quality software. Work with product owners to understand detailed requirements and own code from design to delivery of high-quality solutions.
Lead Data Engineer responsible for designing and building reusable data integration components and frameworks at scale. Will work with various data sources, develop data pipelines, and collaborate with DevOps and data scientists.
The Manager of Machine Learning Engineering at Samsara leads teams in building and managing machine learning solutions for customers, focusing on computer vision, sensor fusion, and AI deployment. This role is fully remote in the US and Canada, with a focus on impactful technology development for industries like transportation and manufacturing.
Lead Machine Learning Engineer responsible for providing technical leadership, implementing ML strategies, and mentoring junior engineers at Personio. The role involves designing and deploying scalable ML algorithms across all product groups within the company.
Design and develop robust and scalable data models for analytical stakeholders. Implement best practices around Data Governance, Data Quality, and pipeline optimization. Lead efforts to build curated data sets for reporting and analytics. Collaborate with data engineers and platform teams to create analytics pipelines. Train users on BI tools and dashboards. Partner with analytics squads on the analytics roadmap.
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