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About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
. Sobre a área: O time de Engenharia de Dados da Incognia é responsável por sustentar e manter a infraestrutura que processa e armazena volumes massivos de dados. O objetivo é garantir que a nossa arquitetura de dados…
Leads a team of data engineers while designing and maintaining IDEXX’s global instrument data pipelines using AWS, Snowflake, and modern cloud-native tools. Balances leadership with hands-on technical work to ensure scalable, secure, and reliable data solutions for healthcare diagnostics.
Designs and maintains multi-cloud data pipelines between AWS and GCP, builds large-scale data processing systems, and ensures data quality and security. Core technologies include Python, PySpark, SQL, Apache Airflow, dbt, Redshift, BigQuery, and S3.
Develop and maintain data platform solutions using Kafka, Java, Spring, and MongoDB. The role involves designing microservices, mapping data, and providing operational monitoring in a hybrid work environment in Wrocław.
Build and run event-driven data pipelines using Kafka, Spring Boot, and GraphQL APIs, integrating MongoDB and cloud/on-prem systems while ensuring observability and security.
Leads a small team of 2-3 platform engineers, splitting time between people leadership and hands-on work like designing Terraform/Terragrunt modules on GCP, championing data security, and establishing self-service developer tools. Core technologies include Terraform/Terragrunt, GCP (BigQuery, Cloud Composer, GKE, IAM), and CI/CD pipelines (GitLab CI, Docker, Kubernetes).
Principal Software Engineer at JPMorganChase building and scaling a global KYC and risk data platform, leading AI-driven engineering practices and agentic systems in a regulated financial environment.
The Principal Data Engineer will lead the design and evolution of ASX's large-scale data platform, focusing on data lake and data mesh architectures using AWS, Apache Spark, dbt, and Airflow. The role involves building reusable frameworks, driving DataOps adoption, and collaborating with cross-functional teams to ensure scalable and compliant data solutions.
The Assistant Vice President will lead the design and operation of modern data platform capabilities, including lakehouse architecture and data pipelines, to support investment management. The role involves hands-on engineering with Spark, Python, and SQL while providing technical leadership to a team.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
Software Engineer on the Data Platform team in Dallas, building and supporting batch and streaming data pipelines, curated datasets, and data quality controls on a modern Lakehouse/AI data stack using SQL, Spark, Python/Java, and tools like Snowflake, Databricks, and Iceberg.
When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this. As a Manager of Software Engineering at JPMorganChase within…
Senior data engineer designing scalable Snowflake/dbt pipelines for SouthState Bank’s analytics, reporting, and decision-making systems. Leads enterprise data platforms, mentors engineers, and ensures compliance with financial regulations.
The Staff Software Engineer will design and optimize a scalable data platform for petabyte-scale IoT and telematics data using Java, Python, and various AWS technologies. This role involves leading technical strategy for data streaming, storage, and analytics pipelines while ensuring high system reliability.
The Senior Software Engineer will design and optimize a scalable data platform using Java and Python to manage petabyte-scale data streaming, storage, and analytics. The role involves building robust data pipelines and real-time systems using technologies like Kafka, Flink, and Apache Iceberg.
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only…
Job Title: Lead Data Engineer No of Positions:2 Location: Jersey City/ Bedford, NJ (Hybrid) (3 days from office per week) Experience: 10+ years specifically Key Skills: Snowflake, SQL, Python, Spark, AWS-Glue, Big Data…
Job Description The Opportunity Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data…
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