As a Data Scientist, you will develop and implement advanced fraud detection models to protect customers’ business from fraudulent activities. As an early member in the ML team you will have great impact in building out our ML stack. Responsibilities include developing fraud detection systems and processes, analyzing data to improve fraud prevention strategies, and optimizing existing models.
The Senior Data Engineer position at Temporal Technologies will play a key role in transforming and analyzing data within the data platform. This position requires an experienced data engineering professional with deep expertise across the entire data stack, and the ability to collaborate effectively with stakeholders. The ideal candidate will rigorously apply software and data engineering best practices to the ingestion, storage, modeling, and analysis of data.
We’re seeking a GCP Data Analyst with deep expertise in BigQuery, strong SQL and Python skills, and a sharp analytical mindset to support both data validation initiatives and ongoing analytics work. The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features to ensure data integrity and surface meaningful insights.
Spark is looking for a Senior Data Engineer to join our data team. As a Senior Data Engineer, you'll focus on building scalable backend systems, implementing modern data tools, and improving the data pipelines that serve as the foundation of our data ecosystem. You'll work closely with product, engineering, and the broader data team to ensure our data infrastructure meets both current needs and future growth.
Focus on project work, debugging performance degradations, audits, and health checks. Design and help implement new Cassandra deployments and evaluate existing clusters and provide recommendations on best practices. Debug high priority issues on mission critical production environments and contribute to rapid brainstorming, designing and developing of prototypes.
Looking to build the next generation of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies! Working across the practices, techniques and tools used for the operational management of large language models in production environments.
We're looking for a talented Data Scientist with expert Python skills and experience in processing large amounts of data to join the team. You'll be a key player in designing, building, and making their main data pipelines and ML systems (that power our advanced analytics and machine learning models) able to handle more. You'll work closely with data scientists and engineers to create strong, efficient, and scalable systems.
The Senior Database Consultant will, supply complete support for all aspects of database and application infrastructure to a variety of clients. The Senior Database Consultant will play a critical role in presales, delivery, consulting, and bringing improvements and optimization to managed services customers, and thought leadership.
This role is ideal for a senior leader who can serve as a trusted advisor to our enterprise clients, leading the design and delivery of modern data platforms that power marketing, analytics, and customer engagement initiatives. You will collaborate with clients across industries to assess current data environments, envision future-state architectures, and design scalable, cloud-native solutions.
Architect, build, and scale the data infrastructure that powers our product. Own ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery/Motherduck) end-to-end. Design and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analytics. Build robust CI/CD, testing, and observability for data flows (GitHub Actions, dbt tests, OpenMetadata, Sentry).