Remote Data Jobs

Work as part of our own team of experts and join our growing Data & AI community where you can spar with other experts, as well as share knowledge and ideas to grow together. Responsibilities include developing and maintaining Power BI reports and semantic models, utilizing advanced knowledge of Power BI, applying strong data modeling concepts, and providing innovative solutions to data-related challenges. Closely collaborate with our customers, solving problems and building solutions together

Assure the reliability of our product and translating customer requirements into viable solutions. Onboard new clients to the Chattermill platform by analysing large, unstructured data sets and creating robust data taxonomies that form the foundation for our machine learning models. Provide client support by troubleshooting issues, develop best practices for working with data, optimise and implement solutions, and contribute to research and development.

As a Senior Data Engineer, you will be responsible for developing and maintaining robust and efficient data pipelines for the migration of complex systems, including SAP ERP, SAP BW, SAP CRM, Salesforce, and Azure Data Lake, to a unified architecture using PostgreSQL. Your role will be to ensure that data is extracted, transformed, and loaded effectively, meeting specific business needs. You will work closely with data architects and technical teams.

You will work closely with Software Engineering, Machine Learning Engineers and Data Analysts to ingest, organize and enable Butter to continue to deliver value on the data we collect. The responsibility includes ensuring data arrives in a timely manner, is organized and usable, and is of a high quality. The role involves building transformation and validation layers upstream to ensure a smooth data flow through the system.

Looking for a driven and skilled AI Engineer to join our team, playing a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.

As a Data Business Analyst, you'll understand and document business rules and requirements for the transformation of data migrated from complex systems, including SAP ERP, SAP BW, SAP CRM, Salesforce, and Azure Data Lake, to a unified architecture using PostgreSQL. Your role ensures that business needs are clearly translated into technical requirements, facilitating collaboration between stakeholders and technical teams.

Looking for a talented Senior Data Engineer who has a strong background in both data pipelines and cloud infrastructure to build our client's near-real-time data platform to solve complex data synchronization challenges. This role is hands-on and requires deploying, tuning, and operating key tools like DataHub and self-managed Confluent (Kafka) connectors on a Kubernetes platform.

You'll be building our client's near-real-time data platform to solve complex data synchronization challenges. This role is hands-on and requires deploying, tuning, and operating key tools like DataHub and self-managed Confluent (Kafka) connectors on a Kubernetes platform.

We're looking for a Senior Data Engineer who combines deep technical expertise with strong communication skills and a proactive mindset, responsible for designing, building, and optimizing complex data pipelines in a cost-conscious environment while actively collaborating with the squad, balancing innovation with operational excellence, and proactively seeking out opportunities for optimization.

This position will be responsible for day-to-day work tasks for revenue cycle data analytics projects and utilize technical and interpersonal skills to assist internal and external clients. Using Kodiak’s technology and data, you will provide high-quality analysis and process improvement solutions that enhance our client's revenue cycle. You will have the opportunity to work closely with all levels of client management and play a significant role in ensuring accurate and insightful data quality in our engagements.