Remote Data Jobs • API

Senior Data Engineers spend most of their time hands-on in the creation, feature development, and subsequent maintenance of NeueHealth properties. The more senior their level, the more that individual will assist in the continuous improvement of the team's productivity and overall design of our systems. Additionally, senior talent plays a key role in building and maintaining a culture which focuses on making sure every engineer progresses in their career in line with personal goals/expectations.

We are looking for a Senior Data Engineer who can build and scale robust data pipelines and connectors for large-scale data ingestion. The ideal candidate is a full-stack data engineer comfortable working with both backend APIs and modern data tools, integrating secure and efficient workflows across distributed systems.

As a Data Engineer at Chartbeat, you will be designing, building, scaling, and maintaining our data pipelines, data stores, analysis engines, and APIs. You will primarily be contributing code within a cross-functional team, typically a few engineers, a designer, a data scientist, and a product manager. You will also participate in the engineering on call rotation to monitor and maintain the health of our production systems.

The Engineer, Data Integration ensures efforts are in alignment with the Enterprise Architecture team to support customer-focused objectives. The Engineer, Data Integration will help define and grow our data centric architecture and is responsible for implementing data ingestion, validation, and transformation pipelines. The Engineer, Data Integration will design and maintain batch and streaming integrations across a variety of data domains and platforms.

Schmidt Ocean Institute is seeking an experienced Data Solutions Engineer to create data solutions for the distribution of high-quality oceanic, atmospheric, and video data. The Data Solutions Engineer will develop and manage systems and applications to increase accessibility and usability of scientific data. This involves developing data-centric applications and platforms, overseeing projects, providing support to scientists, and ensuring data integrity.