Help shape the future of healthcare data as a Senior Data Engineer for Accompany Health. Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care, driving change in healthcare by building products to integrate fragmented healthcare services. Architect and own our data platform strategy, lead the design and implementation of scalable data infrastructure, and create data tools for analytics and data scientist team members.
Join the Data Management team as an Analytics Engineer, transforming and delivering data for Data Science, Analytics, and Reporting. Responsible for designing, implementing, and maintaining data marts, pipelines, and data processes. Tasks include designing scalable data marts, collaborating with stakeholders, developing data models, implementing ETL processes, ensuring data system reliability, and troubleshooting data pipelines.
Develop a cutting-edge application for our customers. Design and implement scalable foundational services to support data pipeline processing, search functionality, user management, and other customer-facing features. Work on ML infrastructure and Generative AI applications to advance scientific use cases. Build and deliver high-quality products using Agile software development methodologies.
This role is ideal for someone who thrives at the intersection of data engineering and backend engineering, helping transform raw data into meaningful insights that drive business decisions across Sales and Revenue, Billing, Traffic, User engagement and behavior. Design and implement scalable data pipelines using Spark (Scala/PySpark) and manage workflows in Databricks.
As a Staff Data Model Engineer, you will work with a fast-moving, ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.
The Block Research is looking for a passionate individual to join our 25-person research team. As a data analyst on our Research team, you will help us create infrastructure for our existing and future data products, as well as automate insights that our team uses on a daily basis. You will work directly with the Research Lead of Data, Simon Cousaert, and the existing data team.
Apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. This role will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments. Translate model insights into actionable strategies that drive business decisions and financial inclusion.
At CoW DAO data plays a central role in understanding on-chain activity. We’re looking for a Data Engineer who’s excited to dive deep into blockchain data, enrich it with insights from our off-chain auction system, and build pipelines and infrastructure to support operations and analytics. This is a hands-on role where you’ll work across teams and design scalable systems.
We’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration, and building dynamic experiences for our customers.
Design, scalable software systems with a focus on quality, performance, and maintainability. Lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards. Collaborate with Research Leads, Product Owners to gather requirements, design ML systems and coordinate the software delivery. Create and maintain documentation for the different initiatives the team is participating in.