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About Lunit From screening to research and development, Lunit is transforming how the world advances cancer detection — boldly, intelligently, and with humanity at the core. We build trusted partnerships with…
We’re looking for a Staff Software Engineer to help shape and build the shared engineering capabilities that underpin Our Future Health’s data platforms. This is an opportunity to combine hands-on software engineering…
Follo is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines and data infrastructure using Python, TypeScript, and Google Cloud Platform. The role involves integrating LLMs into data workflows and optimizing cloud costs while working in a hybrid environment.
Solstice is seeking a Data Engineer to build and own the end-to-end data foundation for their pharmaceutical marketing and media measurement platform. The role involves designing pipelines to ingest, reconcile, and model complex third-party data using Python, SQL, and modern cloud data stack tools.
Builds and maintains scalable ETL/ELT pipelines to transform raw data into actionable insights for analytics and business teams, focusing on SQL optimization, data quality, and cloud-based data infrastructure.
Senior Data Engineer designing and building scalable data pipelines, driving cloud migration to Azure, and transforming large-scale datasets. Core tech: Azure Fabric, Azure Databricks, PySpark, Python, SQL, DBT, Snowflake, Docker, Kubernetes.
Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also…
Builds and deploys AI-driven demand and price response models for fuel/convenience retail pricing, designing experiments, mentoring teams, and ensuring production model quality.
Design and build production NLP pipelines extracting entities, claims, and summaries from scientific text, own model evaluations end-to-end, and contribute to agentic AI applications using Python, LLMs, and orchestration tools like Airflow and Dagster.
Design and build scalable batch and streaming data pipelines using Python, SQL, Pyspark, and Databricks for a car-financing company, ensuring data quality, observability, and alignment with business needs.
Vill du vara med och förändra pensionsbranschen? Är du en kreativ problemlösare med en passion för att strukturera och organisera information? Brinner du för att skapa affärsvärde utifrån data? Då är du den vi söker!…
You engineer production-grade ML systems for rail-inspection data, turning prototypes into reliable, scheduled pipelines and APIs that run on AWS and handle years of sensor data.
We are hiring for this position out of our Toronto, Vancouver and Calgary offices. Successful candidates who apply outside of these areas will be expected to relocate and reside in a location that is within a…
Build and maintain dbt models and SQL transformations in BigQuery/ClickHouse to power reliable analytics and reporting across health, education, and media products.
Develops and scales predictive modeling platforms (embedding-based sequence encoders, survival models, gradient-boosted decision trees) to identify vulnerabilities in housing, health, and social domains using ML pipelines, containerized systems, and responsible AI practices.
Build and own end-to-end data pipelines from production databases into a governed lakehouse and Snowflake warehouse, transforming raw data into trusted metrics for analytics, AI, and business teams.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Lead Clay’s Data Science & Analytics team to set product strategy, design metrics, and drive data-informed decisions using AI-native tools like Monty.
Build and operate high-reliability data pipelines that ingest cardiac device data into a MedTech platform, using Python/TypeScript on AWS with Temporal and Kubernetes.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and transformations using a code-first approach within a modern data stack. The role focuses on leveraging tools like Snowflake, dbt, and Dagster while integrating AI-assisted development workflows to support the company's data strategy.
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