Top Data & Analytics Jobs in New York City, NY

The Senior Data Engineer will design and build infrastructure for data ingestion, transformation, and loading, utilizing technologies like Spark, SQL, and AWS. They will develop CI/CD pipelines, anomaly detection systems, and collaborate with teams to resolve data-related technical issues, all while managing a growing volume of diverse data.

As a Staff Data Engineer, you will design and implement scalable healthcare data systems and analytics, collaborating across teams to support the company's mission. Responsibilities include developing data pipelines, ensuring data quality, mentoring other engineers, and creating data tools for impactful insights in healthcare outcomes.

The Senior Data Engineer at Sol Systems will design, build, and maintain robust data pipelines and infrastructure, ensuring data quality and governance. Responsibilities also include collaborating with stakeholders, optimizing ETL processes, and potentially guiding future data engineering team members as the company scales its data capabilities.

The Quantum Cheminformatics Scientist will work on combining quantum computing with cheminformatics and machine learning to solve complex challenges in drug design and materials science. Responsibilities include developing workflows, applying ML models for molecular discovery, collaborating with experts, and documenting findings for publications.

Rialtic invites you to submit your resume if you don't see a fitting position. They promise to reach out when a suitable job becomes available. They encourage all candidates, especially underrepresented groups, to apply even if they don't meet every requirement.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions, focusing on strategic roadmaps and engagements, and overseeing the development of data standards. The role requires extensive experience in cloud data and analytics technologies, including relational database design and big data processing.

As a Data Analyst at Shift5, you will analyze large data sets, identify trends and anomalies, and provide insights to support operational decisions. You will collaborate with cross-functional teams, perform quantitative analyses, and translate data findings into reports and dashboards. A focus on detail, technical proficiency in data analysis, and the ability to communicate insights effectively are essential for this role.