We are seeking a skilled Data Engineer to join our team and support our data infrastructure and analytics needs. The ideal candidate will have experience working with AWS, Databricks, SQL, and Alteryx, and will be responsible for building and maintaining scalable data pipelines, enabling efficient data access, and ensuring data quality and integrity.
Looking for a seasoned AI/ML Architect to enhance our talented team with expertise in Machine Learning & Artificial Intelligence engineering and infrastructure, with an emphasis on Generative AI based systems; responsible for developing and implementing automation and DevOps methodologies, including CI/CD, Infrastructure as Code (IaC), and containerization, to establish a scalable Machine Learning and Artificial Intelligence infrastructure.
Play a pivotal role in designing, implementing, and optimizing our data architecture to support the ingestion, processing, and analysis of healthcare data. This role requires a deep understanding of healthcare data standards, data integration, and advanced analytics to drive value-based care initiatives. The ideal candidate has specific experience working with data in healthcare, health-tech or the life sciences commercial space.
Seeking an experienced Cloud DBA Manager with expertise in SQL Server on Azure and AWS. The ideal candidate will have strong leadership skills and ability to drive database strategy in a cloud environment. You will manage, optimize, and ensure the performance, security, and availability of databases while working closely with Engineering, Platinum Engineering, DevOps, SRE and Observability.
Engage with customer organizations, understand their business, and establish technical and business credibility to cultivate relationships and envision creative sales and solution strategies that generate additional revenue. Oversee holistic solutions from both business and technical perspectives, organize and lead technical customer needs identification, and lead the creation of customer-specific services and technology solutions.
This position is needed to deliver exceptional data-driven experiences for our customers. Help us unlock the full potential of our customer and business data! You will ensure data is integrated, processed, and activated across multiple systems to create actionable insights and personalized customer experiences. You'll help turn insights into actions, fueling personalized marketing campaigns, product innovations, and customer-centric strategies.
Influence your own development at a company where you have the opportunity to pursue your interests and grow professionally. As a Senior BI Developer, you will understand business requirements, prepare visualization reports, and employ statistical techniques to analyze data. You will also implement data governance policies, collaborate with cross-functional teams, and stay updated with the latest technology trends.
An experienced data engineer is needed to transform raw data into useful data systems. You will be responsible for designing, developing, testing, and deploying data pipelines, data warehouses, data lakes, and data products that support business needs. You will also work closely with data analysts, data scientists, and other stakeholders to ensure data quality, reliability, and availability.
Lead the development and enhancement of a secure, scalable, and efficient data platform for a high-profile government client. This role is pivotal in designing and delivering batch and real-time data processing solutions using both commercial and open-source technologies. As a technical leader, you'll be responsible for leading data engineering efforts, mentoring junior engineers, and ensuring data architecture aligns with business and compliance requirements.
Design, build, and maintain scalable data processing systems and analytics platforms. Lead our efforts to create robust, in-house data infrastructure solutions to support our growing data needs and business intelligence requirements. Design and implement efficient data storage and processing solutions for large-scale datasets; architect a new data processing framework to replace existing third-party solutions.