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Build and own Harvey’s data platform—ingesting, processing, and serving data securely for AI-driven legal services, ensuring reliability, governance, and real-time capabilities.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates…
Builds healthcare cloud systems and data pipelines to enable secure, scalable interoperability between providers, health systems, and patients using FHIR, HL7, and Google Cloud APIs.
Designs and maintains scalable data pipelines and infrastructure to ensure accurate, secure, and accessible data for global healthcare analytics, collaborating with cross-functional teams to drive insights and improve research outcomes.
Design and scale data infrastructure, build secure data pipelines with Airflow, Snowflake, and DBT, and ensure data is well-structured/governed for analysis, reporting, and sharing.
Senior Data Engineer designing and implementing scalable GCP data architectures, including DWH/Datalake solutions, ETL pipelines, and infrastructure as code for an IT consulting firm.
Builds and maintains scalable data pipelines, dimensional models, and graph-based solutions (Neo4j/Cypher) to integrate, transform, and analyze financial transactional/operational data for business decision-making.
Lead a small global data engineering and analytics team at a health-tech company while hands-on building batch and event-driven pipelines, dashboards, and data platforms using AWS (Redshift, Glue, Lambda, S3), dbt, Airflow, PySpark, and BI tools like Sigma/Looker.
The Senior Data Engineer will design and maintain data workflows within a banking environment, utilizing the Hadoop stack, Spark, and Airflow. This role involves mentoring team members, ensuring secure data practices, and collaborating with stakeholders to deliver innovative banking products.
Build and scale the infrastructure that runs data pipelines and AI/ML models in production, using AWS, Kubernetes, and MLOps tooling to ensure reliability and performance.
MONTICELLOAM, LLC and its affiliates (“Monticello”) is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets…
Senior Data Scientist & Engineer builds and owns data infrastructure, trains and deploys LLM-based and traditional ML models, and analyzes product usage to drive AI-powered HR compliance decisions for a SaaS global employment platform.
The Principal Data Scientist will build and own data infrastructure, develop LLM-based and traditional machine learning models, and analyze product usage to drive product strategy for G-P's AI-powered HR agent, GIA. This role requires a versatile expert capable of handling data engineering, data science, and product analytics in a fast-paced, startup-like environment.
Make a difference here. UltraViolet Cyber is a leading platform-enabled unified security operations company providing a comprehensive suite of security operations solutions. Founded and operated by security…
A Milan-based IT consultant who designs, builds, and maintains data pipelines using Python, SQL, Spark, and cloud tools like Databricks/Airflow to support business projects.
Data Scientist & Engineer builds ML models and ETL pipelines to extract insights from vehicle telematics data, using Python, Spark, and cloud tools in a mobility-focused R&D team.
Build and maintain ELT pipelines, migrating legacy systems to modern data architectures using SQL, dbt, BigQuery, and Airflow.
Designs and manages GCP-based data pipelines (batch/streaming) for enterprise clients, focusing on data ingestion, transformation, and orchestration.
Build and operate a serverless execution engine and workflows orchestration layer for industrial AI, ensuring reliability, scalability, and observability for Fortune 500 clients.
Senior Software Engineer on the Data Product team at TRM Labs, building highly scalable data services that analyze blockchain transaction activity at petabyte scale using Python, SQL, BigQuery, Postgres, Airflow, DBT, and streaming technologies like Kafka and Flink.
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