Top Remote Scala Jobs in New York City, NY

The Staff Software Engineer will lead the technical direction and delivery of backend solutions for an enterprise platform. Responsibilities include designing high-impact projects, collaborating with teams to enhance products, and mentoring engineers while advocating for best practices.

The Data Platform Engineer at Halcyon will develop and maintain the data platform and cloud infrastructure, enhance developer experience, collaborate with product teams, and ensure high code quality. Responsibilities also include monitoring system reliability, and participating in team growth and recruitment.

As a Distinguished Engineer at iSpot.tv, you will provide technical leadership, drive architecture and design for data measurement platforms, and mentor engineers. You will focus on large-scale data processing, cloud-native solutions, and real-time analytics while collaborating with various teams to tackle complex challenges and enhance scalability.

The Sr. Backend Engineer will develop and ship high-quality features in a scalable environment, review code for best practices, mentor team members, ensure monitoring of backend services, and participate in Agile ceremonies while solving complex problems.

As a Data Platform Engineering Manager, you will lead a team to build scalable data solutions, focusing on data processing from production systems to data lakes and warehouses. You will ensure data quality, mentor engineers, and contribute to platform strategies in a collaborative environment.

As a Principal Solutions Architect, you will manage multiple customer projects, build relationships with client executives, guide clients through complex data challenges, lead SAP data migrations into Enterprise Data Warehouses, and drive SAP S/4HANA upgrades, collaborating closely with cross-functional teams and providing strategic guidance.

As a Data Platform Engineering Manager, you will lead a team to develop a robust data platform. Responsibilities include building scalable data systems, ensuring data quality, mentoring team members, and collaborating across departments to enhance decision-making with data.