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Sr. data engineer
Build and maintain scalable data pipelines, warehouses, and streaming architectures using SQL, Python/Scala, Spark, Kafka, and cloud platforms (Azure/AWS/GCP).
Software Engineer - Backend Databricks Amsterdam, Netherlands
Build and scale backend infrastructure for Databricks’ data and AI platform, focusing on distributed systems, cloud storage backends, and high-performance services using Scala, Kubernetes, and Spark.
Senior Software Engineer - Backend Databricks Amsterdam, Netherlands
Build and scale backend infrastructure for Databricks’ data and AI platform, including distributed systems, Kubernetes, and cloud storage integrations.
Senior Backend Engineer: Scalable Distributed Systems
Build and scale Databricks' data and AI platform by developing distributed systems, services, and high-performance backend components in Java/Scala/C++.
Software Engineer - Fullstack Databricks Amsterdam, Netherlands
Builds and improves Databricks’ full-stack web interfaces (React, Node.js, Python/Scala) for SQL analytics, workflows, and developer tooling on a cloud-scale data platform.
Backend Engineer, Scalable Data Platform
Build and scale Databricks’ data and AI platform infrastructure using Java/Scala/C++ and distributed systems, ensuring high-performance, reliable services.
Staff Backend Engineer, SOC & Threat Hunting
Builds resilient backend services and scalable microservices in Go for Censys’s SOC and threat-hunting platform, integrating APIs and cloud infrastructure to deliver actionable security intelligence.
Lead Data Engineer (Remote)
Lead a client’s data engineering effort: design scalable pipelines, model warehouses, and optimize SQL on Snowflake/Databricks, often with healthcare data (Epic, HL7, FHIR).
Senior Full-stack Engineer (frontend-heavy)
Build and improve the user-facing platform for a global language-learning marketplace using React, TypeScript, and Python/Django, shipping features daily and validating them with A/B tests.
Java Software Engineer -Montreal
Builds and maintains surveillance models in Java, integrating with back-end, front-end, and DevOps pipelines to support risk and compliance monitoring in an agile team.
Scala Backend Developer
Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Family: Software Engineering Job Qualifications:…
Staff Software Engineer – Data
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand.…
Senior Backend Engineer, Edge - Real-World AI
Designs and builds scalable backend systems that bridge hardware with machine-learning services using AWS, Java/Scala, gRPC, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka.
Remote Senior Data Engineer
Build and scale real-time, globally distributed data pipelines and identity graphs for an adtech platform using Python, Spark, and cloud infrastructure.
Machine Learning Engineer - Strategic Data Solutions
Build and deploy ML models to detect fraud and improve security across Apple’s operations using Python, Spark, and SQL.
Staff Data Scientist, EGRI
Staff Data Scientist on LinkedIn’s Economic Graph team builds metrics, models, and experiments to analyze global workforce trends and guide data-driven decisions across the company.
Sr. Java Developer
Senior Java developer building scalable back-end services and data pipelines using Spring, SQL/NoSQL, and Kafka for a data-driven product company.
Gcp Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Solutions Architect
Designs and implements end-to-end data and AI solutions for large enterprises using cloud platforms like Snowflake, AWS, Azure, and GCP, while leading teams and advising clients.
Senior Data Engineer (Big Data & Data Warehouse)
Designs and builds data pipelines, warehouses, and ETL processes using Hadoop, Spark, Kafka, and SQL, ensuring data quality and access for banking analytics.