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Senior Data Engineer on Lyft's Mapping team, building scalable data pipelines, offline experimentation tooling, and route simulation services using AWS, Databricks, Kubernetes, Airflow, and Spark.
Backend Engineer on the AI Platform team designing, building, and operating scalable distributed backend services, APIs, and event-driven integrations for a mortgage loan-servicing company, using modern backend languages, major cloud platforms (AWS/GCP/Azure), SQL, and CI/CD practices.
The Senior Data Platform Engineer & Cloud Architect will design and operate enterprise-scale AWS data platforms, focusing on automation, CI/CD, and cloud infrastructure. This role involves leading technical initiatives, mentoring teams, and bridging architectural strategy with hands-on engineering using tools like Terraform, Airflow, and Python.
Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data infrastructure to support analytics and machine learning initiatives. The role involves collaborating with cross-functional teams to ensure data quality, performance, and security across cloud-based data systems.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes using GCP, Airflow, DBT, and Kafka to support data-driven decision-making.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes using GCP, Airflow, and dbt to support data-driven decision-making. This role involves ensuring data quality, optimizing performance, and managing data models within a gaming company environment.
DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced Data Engineer to join our data engineering team. In this role, you will play a crucial part in…
QA Software Engineer designs and maintains automated tests for distributed broadband software systems, integrating CI/CD pipelines and performance benchmarks using Java, Python, JUnit, Playwright, and Kafka.
Design, build, and scale backend services, APIs, databases, and cloud-native solutions for RWE Offshore Wind's engineering department, driving data governance and AI-enabled automation using Python, Azure, Docker, Kubernetes, and Databricks.
Data & AI Engineer designing and scaling backend applications, databases, APIs and cloud-native solutions for RWE Offshore Wind's Engineering department, using Python, Azure, Databricks and LLM-based AI tooling.
Own and maintain ETL/ELT data pipelines, databases, and workflow orchestration for a credit risk research initiative at NUS's Asian Institute of Digital Finance, with opportunities to contribute to AI/LLM research.
About the Role We are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer. The developers will work across the same surface: Python…
Build and operate petabyte-scale data transfer pipelines for sensor data from global automotive partners, using Python, Terraform, Azure, Flyte, and Kafka within a hybrid London-based team.
Hands-on AI Engineer building production agentic workflows for real estate diligence, planning, and execution using LLMs, Python, RAG, and agent frameworks in NYC.
Design, build, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform using Python, SQL, BigQuery, and Airflow, while ensuring data governance and collaborating with stakeholders.
Senior data engineer on the Mapping team building scalable data pipelines, offline experimentation tooling, and route simulation services for a ride-hailing platform, using AWS, Databricks, Kubernetes, Airflow, and Spark.
Senior Data Engineer on Lyft's Mapping team, building scalable data pipelines, offline experimentation tooling, and route simulation services using AWS, Databricks, Kubernetes, and Airflow.
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