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.
Administer, test, and implement computer databases applying knowledge of database management systems. Coordinate changes to computer databases and implement security measures to safeguard databases. Apply technical knowledge across teams to support architecture and design solutions, create cloud data models and architecture using deployment and monitoring automation code, and ensure long term technical viability of cloud master data management integrated repositories.
We are looking for a BI Engineer, BI Specialist, Data Warehouse Developer, Data Architect, or Azure Developer who is passionate about building smart, data-driven solutions and delivering meaningful impact for international clients. As part of our BI Development Team, you will work on exciting, challenging projects that empower organizations to become fully data-driven. You’ll enjoy autonomy in your approach and have a direct influence on technical direction.
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.
This role is responsible for managing critical enterprise applications and databases, ensuring performance, availability, and reliability across platforms such as Oracle Fusion Cloud Applications, E-Business Suite, WMS, EPM, and OTM. The ideal candidate will bring deep technical expertise, proactive problem-solving abilities, and a collaborative mindset to support cross-functional initiatives in a fast-paced, mission-critical environment. Administer, monitor, and maintain Oracle Fusion Cloud Applications including Fusion ERP, WMS, EPM, and OTM.
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.
Within the data platform engineering group, you will help us design, build, and operate our data services infrastructure which is at the core of our data-driven culture. You will take responsibility for the quality of the code produced and for all aspects of software engineering, from design to implementation, QA, and maintenance.
Show the power of healthcare data to prove the life-changing impact of Wellth's innovative behavior change programs. You are a healthcare data subject matter expert, experienced in healthcare datasets and analyses, including health outcomes, ROI, and utilization reduction. Our data team will rely on your guidance for structuring client healthcare data to inform product and program design.