Successful data engineer actively participate in the design, development, and operation of a modern data platform that supports Carenet Healthβs business strategy and delivers trusted data-as-a-service capabilities with a focus on data quality, reliability, and ease of use. Partner with BI teams, analysts, and business stakeholders to design, build, and maintain Carenet Healthβs enterprise data warehouse.
Job listings
Develop data pipelines to process and analyse large amounts of information and prepare training datasets. Build predictive models and machine-learning algorithms, discover trends and patterns. Develop and implement generative AI models to address real-world challenges across various domains. Conduct research on emerging generative AI techniques and algorithms.
As a Sr. Data Engineer, you will design, develop, and maintain robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data across systems. You will be responsible for optimizing data storage and processing in data lakes and cloud data warehouses (Azure, Databricks). Strong collaboration skills are needed to help drive excellence across our data infrastructure.
The Data Engineer will play a critical role in designing, constructing, installing, testing, and maintaining highly scalable data management systems. This role requires hands-on expertise using Snowflake, Azure Cloud services, and Sigma to design, develop, and maintain scalable data pipelines and analytics solutions.The ideal candidate will have strong experience in cloud-based data architectures and modern ETL/ELT practices.
This position will play a critical role within a cross-functional team, delivering powerful solutions, to build industry-leading analytics, data, and technology platforms to help reimagine health care. This is a hands-on, senior-level Data Scientist role, requiring a combination of business/stakeholder consulting and data analysis, including using machine learning methods. The role will generate insights, build models, and develop analytical approaches.
As a Power BI Developer, youβll play a key role in transforming complex data into meaningful, actionable insights and work closely with business stakeholders to understand their needs. Youβll develop visually compelling dashboards and contribute to improving the way analytics supports strategic decision-making, designing, building, and maintaining Power BI reports and dashboards.
The Senior Data Management Engineer will build data pipelines, model and prepare data, and perform complex data analysis to answer Business questions. This role involves building and automating data pipeline and quality framework to enable and promote self service data pipelines, and assisting in operationalizing the AI / ML Engineering solutions.
We are seeking a highly skilled and experienced Data Analyst, specializing in Power BI and modern data platforms, who will play a critical role in designing, developing, and maintaining data models, dashboards, and reports that deliver actionable insights for business stakeholders. The Data Analyst will be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Lantern is seeking a Data Engineering Manager to shape the future of their Data Platform. This role involves leading a team of Data Engineers and hands-on contribution to the design, development, and maintenance of the platform. The ideal candidate will have expertise in Data Architecture, batch processing frameworks, and Data Modeling, ensuring smooth data ingestion and export processes.
Seeking an experienced Vice President of Data Science & Machine Learning Strategy to lead data science and machine learning initiatives. This role will lead in bridging the gap between complex technical infrastructure and business objectives. This role is crucial for defining and scoping projects effectively, ensuring their technical feasibility and alignment with strategic priorities.