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Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.…
Builds cloud-native data platforms and analytical applications for genomic data at petabyte scale, turning statistical genetics methods into scalable, high-performance commercial products. Bridges bioinformatics scientists, cloud engineers, and product teams to deliver APIs, UIs, and interactive query interfaces for population-scale health research.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
Leads design and development of security automation solutions and data pipelines within FNF's ORCA program, using Python, Kubernetes, Terraform, orchestration platforms, and AI/LLM integration.
Build and optimize high-traffic, real-time data services for Adobe Experience Platform using Java/Scala, Spark, and cloud-native tools to power personalized customer experiences.
Build and enhance system-wide profiling and analysis tools primarily in Python with some C++, collaborating across teams to deliver solutions for developers in HPC, ML/AI, and embedded markets.
BI Analyst in NLR's CFO office, implementing and maintaining BI reporting tools (Power BI, SSRS, Tableau), building dashboards, supporting data governance, and optimizing enterprise financial reporting and analytics in a fully remote role.
Design and evolve test automation frameworks and quality tooling for Guidewire's P&C insurance cloud platform and AI-augmented products, spending 70%+ time hands-on with Java/Python/JavaScript, REST API testing, browser automation, Docker, Kubernetes, and CI/CD pipelines.
AWS Data Engineer building and maintaining ETL/ELT data pipelines, datamarts in Amazon Redshift, and SQL transformations using Python, PySpark, and various BI tools.
Design, build, and operate modern data platforms, lakehouse architectures, and scalable data pipelines using Python, SQL, Databricks, Snowflake, and cloud platforms (Azure/AWS/GCP) to enable analytics and AI-driven use cases for enterprise clients.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI data platform, enabling reliable analytics and AI use cases at a global investment bank.
At Great Yellow we’re looking for a Senior Data Platform Engineer to join our team. About Great Yellow Great Yellow is building the operating system for a regenerative economy. Our mission is to make regenerative…
Designs and runs async REST APIs, manages large datasets in pandas/Parquet/Arrow, and ensures secure data distribution for financial intelligence APIs on AWS.
The Junior Data & AI Engineer will design and build scalable data pipelines and generative AI solutions using cloud architectures, Big Data processing, and LLM frameworks. The role involves working with Python, Java, or Scala to develop ETL processes and integrate AI models into production environments.
Build and maintain scalable data pipelines for customer identity resolution in a large e-commerce platform using BigQuery, Python, and Airflow.
The Senior Databricks Data Engineer will design and maintain scalable data pipelines using Databricks, Spark, and PySpark. The role involves optimizing data processing performance and ensuring data quality using Delta Lake and Parquet.
Tata Consultancy Services Canada Inc. is seeking a detail-oriented ETL Automation Quality Engineer to ensure reliability and accuracy of data pipelines in a cloud-based environment. You will design automated test…
An award-winning privacy-preserving data collaboration platform that enables companies to analyze and collaborate on consumer data to gain insights, build predictive models, and monetize data without sharing the raw…
Hands-on senior data platform engineer at a consultancy, designing and building cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Airflow for enterprise clients.
Designs and builds scalable data pipelines to transform complex healthcare data (e.g., OMOP/FHIR) into research-ready datasets, collaborating with data scientists and engineers to ensure data quality, governance, and usability for global health research initiatives.
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