733 results
FiltersResponsible for analytic data needs of the business unit. Handle complex data projects and act as a lead for other Data Analysts. Provide advanced analytical support for business operations in all or some of the following areas: claims, provider data, member data, clinical data, HEDIS, pharmacy, external reporting. Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources.
As a Business Intelligence (BI) Data Engineer, you will act as the bridge between our complex data and our business domains. You will be responsible for empowering teams with accurate, reliable, and insightful analytical datasets that drive critical business decisions. This is an exciting opportunity for a proactive individual who is eager to work with a modern data stack.
Earning trust with prospects and customers by quantifying value with clear, data-backed business cases. The Solution Analytics team turns pilot datasets into rigorous retrospectives and ROI narratives that inform partner decisions and accelerate adoption. We support existing partners with analyses. We’re looking for an analyst who blends business acumen with analytical rigor. Success means owning the end-to-end analytics workflow.
Provides data conversion, business intelligence, and analytics services to Zuri Group’s clients, blending technical execution with consultative client engagement. You’ll work directly with clients to map and convert fundraising data from a variety of legacy systems into modern fundraising databases. Projects involve advising clients on software functionality and business process improvement.
As the foundational Data Engineer for HTS Media, you will own the data infrastructure that powers entire advertising business. Mission is to build a robust, scalable data foundation from the ground up that transforms this raw data into the trusted, high-quality datasets that power advertiser-facing reporting and enable future ML models. You will be responsible for the full lifecycle of data, from building real-time data pipelines to modeling data in our warehouse for analytics and reporting.
Play a hands-on role in shaping the next generation of Liquid Foundation Models (LFMs). Your work will involve data curation, cleaning, augmentation, and synthetic data generation. You will also analyze model failure modes to identify and close data gaps, design and implement pipelines for generating and validating training datasets, and fine-tune models.
We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products. Develop , schedule, and monitor data pipelines using Apache Airflow. Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery. Optimize ETL processes for performance, reliability, and scalability.
We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains. You’ll take ownership of QA processes for mission-critical projects and collaborate closely with cross-functional teams to design scalable QA strategies.
This position is within the Tolling Services team, specializing in electronic road-charging solutions and developing intelligent tolling systems for international customers. Main tasks include MariaDB operation, supporting developers, implementing MySQL and MariaDB Galera on OpenShift / Kubernetes, and providing full operational responsibility. As part of an international team, you will play a key role in supporting customers with cutting-edge tolling solutions.
The data team turns raw on-chain activity into trustworthy and reusable datasets, and you will sit at the intersection of protocol mechanics, SQL modeling, and transformation tooling. You will work closely with data engineers and product managers to standardize how key on-chain concepts are represented across chains and protocols, so analysts and developers can build reliably on top of them.